From d3cba0fee6fa8f8ef65faca3c28d3ce11e129281 Mon Sep 17 00:00:00 2001 From: Evgeny Kotov Date: Tue, 28 Nov 2023 19:03:57 +0100 Subject: [PATCH] fixes --- .../models_hub_common/constants.py | 4 +- .../test_performance_model.py | 73 +- .../performance_tests/conftest.py | 30 +- .../performance_tests/nightly_models | 689 ++++++++++++++++++ .../test_tf_hub_performance_model.py | 9 + 5 files changed, 762 insertions(+), 43 deletions(-) create mode 100644 tests/model_hub_tests/performance_tests/nightly_models diff --git a/tests/model_hub_tests/models_hub_common/constants.py b/tests/model_hub_tests/models_hub_common/constants.py index c5ce5c344a9a07..64d7b2b4d8a167 100644 --- a/tests/model_hub_tests/models_hub_common/constants.py +++ b/tests/model_hub_tests/models_hub_common/constants.py @@ -5,7 +5,9 @@ import os import tempfile -runtime_duration = os.environ.get('RUNTIME_ARG_DURATION', '60') +runtime_measure_duration = os.environ.get('RUNTIME_MEASURE_DURATION', '15') +runtime_heat_duration = os.environ.get('RUNTIME_HEAT_DURATION', '5') + tf_hub_cache_dir = os.environ.get('TFHUB_CACHE_DIR', os.path.join(tempfile.gettempdir(), "tfhub_modules")) diff --git a/tests/model_hub_tests/models_hub_common/test_performance_model.py b/tests/model_hub_tests/models_hub_common/test_performance_model.py index ac49df92785b38..b95d0048bb507b 100644 --- a/tests/model_hub_tests/models_hub_common/test_performance_model.py +++ b/tests/model_hub_tests/models_hub_common/test_performance_model.py @@ -9,7 +9,8 @@ import pytest from openvino.runtime.utils.types import openvino_to_numpy_types_map from models_hub_common.utils import round_num -from models_hub_common.constants import runtime_duration +from models_hub_common.constants import runtime_measure_duration +from models_hub_common.constants import runtime_heat_duration import numpy as np import openvino as ov @@ -47,12 +48,19 @@ class Status(Enum): LARGE_INFER_TIME_DIFF_WITH_LARGE_VAR = 9 +class ModelResults: + def __init__(self): + self.infer_mean_time = 0.0 + self.infer_variance = 0.0 + self.infer_throughput = 0.0 + self.heat_n_repeats = 0 + self.infer_n_repeats = 0 + + class Results: def __init__(self): - self.converted_infer_time = 0.0 - self.converted_model_time_variance = 0.0 - self.read_model_infer_time = 0.0 - self.read_model_infer_time_variance = 0.0 + self.converted_model_results = ModelResults() + self.read_model_results = ModelResults() self.infer_time_ratio = 0.0 self.error_message = '' self.status = None @@ -68,7 +76,6 @@ def wrap_timer(func, args): class TestModelPerformance: infer_timeout = 600 threshold_ratio = 0.1 - num_heat_runs = 100 threshold_var = 10.0 def load_model(self, model_name, model_link): @@ -127,31 +134,41 @@ def get_read_model(self, model_path: str): return core.read_model(model=model_path) def infer_model(self, ov_model, inputs): + results = ModelResults() infer_step_t0 = time.time() # heat run - for _ in range(0, TestModelPerformance.num_heat_runs): + left_time = float(runtime_heat_duration) + while left_time > 0: + t0 = time.time() ov_model(inputs) + t1 = time.time() + left_time -= (t1 - t0) + results.heat_n_repeats += 1 + print('heat done in {} repeats'.format(results.heat_n_repeats)) # measure - runtime_duration_ns = float(runtime_duration) * (10 ** 9) - left_time = float(runtime_duration) * (10 ** 9) - n_runs = 0 - results = [] + runtime_duration_ns = float(runtime_measure_duration) * (10 ** 9) + left_time = runtime_duration_ns + time_slices = [] while left_time > 0: t0 = time.perf_counter_ns() ov_model(inputs) t1 = time.perf_counter_ns() timedelta = t1 - t0 - results.append(timedelta) + time_slices.append(timedelta) left_time -= timedelta - n_runs += 1 + results.infer_n_repeats += 1 + print('measurement done in {} repeats'.format(results.infer_n_repeats)) runtime_real = runtime_duration_ns - left_time - throughput = runtime_real / (n_runs * (10 ** 9)) - mean = np.mean(results) - var = (np.std(results, ddof=1) * 100) / mean + results.infer_throughput = runtime_real / (results.infer_n_repeats * (10 ** 9)) + results.infer_mean_time = np.mean(time_slices) + results.infer_variance = (np.std(time_slices, ddof=1) * 100) / results.infer_mean_time infer_step_t1 = time.time() - print('inference measurement done in {} repeats'.format(n_runs)) + print('model time infer {}'.format(round_num(results.infer_mean_time / (10 ** 9)))) + print('model time infer var {}'.format(round_num(results.infer_variance))) + print('model time infer throughput {}'.format(round_num(results.infer_throughput))) + print('inference measurement done in {} repeats'.format(results.infer_n_repeats)) print('inference measurement done in {} secs'.format(round_num(infer_step_t1 - infer_step_t0))) - return mean, var, throughput + return results def compile_model(self, model, ie_device): core = ov.Core() @@ -180,29 +197,19 @@ def _run(self, model_name, model_link, ie_device): read_model = self.compile_model(self.get_read_model(model_obj), ie_device) print("Infer the converted model") results.status = Status.INFER_CONVERTED_MODEL - converted_model_time, converted_model_time_variance, throughput = self.infer_model(converted_model, inputs) - print('converted model time infer {} nsecs'.format(round_num(converted_model_time))) - print('converted model time infer var {}'.format(round_num(converted_model_time_variance))) - print('converted model time infer throughput {}'.format(round_num(throughput))) + results.converted_model_results = self.infer_model(converted_model, inputs) print("Infer read model") results.status = Status.INFER_READ_MODEL - read_model_time, read_model_time_variance, throughput = self.infer_model(read_model, inputs) - print('read model time infer {} nsecs'.format(round_num(read_model_time))) - print('read model time infer var {}'.format(round_num(read_model_time_variance))) - print('read model time infer throughput {}'.format(round_num(throughput))) - infer_time_ratio = converted_model_time / read_model_time + results.read_model_results = self.infer_model(read_model, inputs) + infer_time_ratio = results.converted_model_results.infer_mean_time/results.read_model_results.infer_mean_time print('infer ratio converted_model_time/read_model_time {} %'.format(round_num(infer_time_ratio * 100))) - results.converted_infer_time = converted_model_time - results.converted_model_time_variance = converted_model_time_variance - results.read_model_infer_time = read_model_time - results.read_model_infer_time_variance = read_model_time_variance results.infer_time_ratio = infer_time_ratio if abs(infer_time_ratio - 1) > TestModelPerformance.threshold_ratio: - if (read_model_time_variance > TestModelPerformance.threshold_var - or converted_model_time_variance > TestModelPerformance.threshold_var): + if (results.read_model_results.infer_variance > TestModelPerformance.threshold_var + or results.converted_model_results.infer_variance > TestModelPerformance.threshold_var): results.status = Status.LARGE_INFER_TIME_DIFF_WITH_LARGE_VAR results.error_message = "too large ratio {} with large variance".format(infer_time_ratio) else: diff --git a/tests/model_hub_tests/performance_tests/conftest.py b/tests/model_hub_tests/performance_tests/conftest.py index 40fca1d19268c9..91c9f203234009 100644 --- a/tests/model_hub_tests/performance_tests/conftest.py +++ b/tests/model_hub_tests/performance_tests/conftest.py @@ -27,11 +27,17 @@ def pytest_runtest_makereport(item, call): @pytest.mark.optionalhook def pytest_html_results_table_header(cells): cells.insert(2, html.th('status', class_="sortable")) - cells.insert(3, html.th('converted model infer time')) + cells.insert(3, html.th('converted model infer time secs')) cells.insert(4, html.th('converted model infer time variance')) - cells.insert(5, html.th('read model infer time')) - cells.insert(6, html.th('read model infer time variance')) - cells.insert(7, html.th('model infer time ratio converted_model_time/read_model_time')) + cells.insert(5, html.th('converted model heat n repeats')) + cells.insert(6, html.th('converted model measurement n repeats')) + cells.insert(7, html.th('converted model throughput')) + cells.insert(8, html.th('read model infer time secs')) + cells.insert(9, html.th('read model infer time variance')) + cells.insert(10, html.th('read model heat n repeats')) + cells.insert(11, html.th('read model measurement n repeats')) + cells.insert(12, html.th('read model throughput')) + cells.insert(13, html.th('model infer time ratio converted_model_time/read_model_time')) @pytest.mark.optionalhook @@ -39,8 +45,14 @@ def pytest_html_results_table_row(report, cells): if not getattr(report, '_results', None): return cells.insert(2, html.td(report._results.status)) - cells.insert(3, html.td(round_num(report._results.converted_infer_time))) - cells.insert(4, html.td(round_num(report._results.converted_model_time_variance))) - cells.insert(5, html.td(round_num(report._results.read_model_infer_time))) - cells.insert(6, html.td(round_num(report._results.read_model_infer_time_variance))) - cells.insert(7, html.td(round_num(report._results.infer_time_ratio))) + cells.insert(3, html.td(round_num(report._results.converted_model_results.infer_mean_time / (10 ** 9)))) + cells.insert(4, html.td(round_num(report._results.converted_model_results.infer_variance))) + cells.insert(5, html.td(report._results.converted_model_results.heat_n_repeats)) + cells.insert(6, html.td(report._results.converted_model_results.infer_n_repeats)) + cells.insert(7, html.td(round_num(report._results.converted_model_results.infer_throughput))) + cells.insert(8, html.td(round_num(report._results.read_model_results.infer_mean_time / (10 ** 9)))) + cells.insert(9, html.td(round_num(report._results.read_model_results.infer_variance))) + cells.insert(10, html.td(report._results.read_model_results.heat_n_repeats)) + cells.insert(11, html.td(report._results.read_model_results.infer_n_repeats)) + cells.insert(12, html.td(round_num(report._results.read_model_results.infer_throughput))) + cells.insert(13, html.td(round_num(report._results.infer_time_ratio))) diff --git a/tests/model_hub_tests/performance_tests/nightly_models b/tests/model_hub_tests/performance_tests/nightly_models new file mode 100644 index 00000000000000..841d0f8047083f --- /dev/null +++ b/tests/model_hub_tests/performance_tests/nightly_models @@ -0,0 +1,689 @@ +universal-sentence-encoder,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/universal-sentence-encoder/versions/2 +imagenet/mobilenet_v1_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-224-classification/versions/2 +imagenet/mobilenet_v2_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-224-classification/versions/2 +universal-sentence-encoder-multilingual,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual/versions/2 +universal-sentence-encoder-large,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/large/versions/2 +imagenet/mobilenet_v2_075_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-224-classification/versions/2 +movenet/singlepose/lightning,https://www.kaggle.com/models/google/movenet/frameworks/tensorFlow2/variations/singlepose-lightning/versions/4 +imagenet/mobilenet_v1_025_224/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-224-classification/versions/2 +bert_en_uncased_preprocess,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-uncased-preprocess/versions/3 +tf2-preview/mobilenet_v2/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/tf2-preview-feature-vector/versions/4 +magenta/arbitrary-image-stylization-v1-256,https://www.kaggle.com/models/google/arbitrary-image-stylization-v1/frameworks/tensorFlow1/variations/256/versions/2 +nnlm-en-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/en-dim128/versions/1 +bert_en_uncased_L-12_H-768_A-12,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-uncased-l-12-h-768-a-12/versions/4 +bert_uncased_L-12_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/uncased-l-12-h-768-a-12/versions/1 +elmo,https://www.kaggle.com/models/google/elmo/frameworks/tensorFlow1/variations/elmo/versions/3 +universal-sentence-encoder-multilingual-large,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual-large/versions/2 +small_bert/bert_en_uncased_L-4_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-4-h-256-a-4/versions/2 +imagenet/resnet_v2_50/feature_vector,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/50-feature-vector/versions/2 +spice,https://www.kaggle.com/models/google/spice/frameworks/tensorFlow1/variations/spice/versions/2 +movenet/singlepose/thunder,https://www.kaggle.com/models/google/movenet/frameworks/tensorFlow2/variations/singlepose-thunder/versions/4 +yamnet,https://www.kaggle.com/models/google/yamnet/frameworks/tensorFlow2/variations/yamnet/versions/1 +tf2-preview/nnlm-en-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-en-dim128/versions/1 +universal-sentence-encoder-lite,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow1/variations/lite/versions/2 +tf2-preview/mobilenet_v2/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/tf2-preview-classification/versions/4 +imagenet/inception_v3/feature_vector,https://www.kaggle.com/models/google/inception-v3/frameworks/tensorFlow2/variations/feature-vector/versions/2 +imagenet/mobilenet_v2_140_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/140-224-classification/versions/2 +efficientnet/lite0/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite0-feature-vector/versions/2 +i3d-kinetics-400,https://www.kaggle.com/models/deepmind/i3d-kinetics/frameworks/tensorFlow1/variations/400/versions/1 +imagenet/mobilenet_v2_035_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-224-classification/versions/2 +tf2-preview/gnews-swivel-20dim,https://www.kaggle.com/models/google/gnews-swivel/frameworks/tensorFlow2/variations/tf2-preview-20dim/versions/1 +faster_rcnn/openimages_v4/inception_resnet_v2,https://www.kaggle.com/models/google/faster-rcnn-inception-resnet-v2/frameworks/tensorFlow1/variations/faster-rcnn-openimages-v4-inception-resnet-v2/versions/1 +imagenet/mobilenet_v2_140_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/140-224-feature-vector/versions/2 +imagenet/mobilenet_v2_100_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-224-feature-vector/versions/2 +bert_en_cased_L-12_H-768_A-12,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-cased-l-12-h-768-a-12/versions/4 +universal-sentence-encoder-cmlm/en-base,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/cmlm-en-base/versions/1 +openimages_v4/ssd/mobilenet_v2,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow1/variations/openimages-v4-ssd-mobilenet-v2/versions/1 +efficientnet/lite0/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite0-classification/versions/2 +universal-sentence-encoder-xling-many,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow1/variations/xling-many/versions/1 +imagenet/mobilenet_v3_large_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/large-100-224-classification/versions/1 +nnlm-en-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/en-dim128-with-normalization/versions/1 +nnlm-en-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/en-dim50/versions/1 +movenet/multipose/lightning,https://www.kaggle.com/models/google/movenet/frameworks/tensorFlow2/variations/multipose-lightning/versions/1 +efficientdet/lite0/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite0-feature-vector/versions/1 +imagenet/efficientnet_v2_imagenet1k_b0/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-b0-feature-vector/versions/2 +small_bert/bert_en_uncased_L-4_H-512_A-8,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-4-h-512-a-8/versions/2 +universal-sentence-encoder-cmlm/multilingual-preprocess,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/cmlm-multilingual-preprocess/versions/2 +vggish,https://www.kaggle.com/models/google/vggish/frameworks/tensorFlow2/variations/vggish/versions/1 +bert_multi_cased_L-12_H-768_A-12,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/multi-cased-l-12-h-768-a-12/versions/4 +imagenet/mobilenet_v2_130_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/130-224-classification/versions/2 +tf2-preview/inception_v3/feature_vector,https://www.kaggle.com/models/google/inception-v3/frameworks/tensorFlow2/variations/tf2-preview-feature-vector/versions/4 +mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT,https://www.kaggle.com/models/google/mobilebert/frameworks/tensorFlow1/variations/uncased-l-24-h-128-b-512-a-4-f-4-opt/versions/1 +bert_en_uncased_L-24_H-1024_A-16,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-uncased-l-24-h-1024-a-16/versions/4 +imagenet/mobilenet_v3_small_100_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/small-100-224-feature-vector/versions/1 +efficientdet/lite0/detection,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite0-detection/versions/1 +small_bert/bert_en_uncased_L-2_H-128_A-2,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-2-h-128-a-2/versions/2 +albert_base,https://www.kaggle.com/models/google/albert/frameworks/tensorFlow1/variations/base/versions/3 +nnlm-ja-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ja-dim128/versions/1 +universal-sentence-encoder-multilingual-qa,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/multilingual-qa/versions/2 +nnlm-ja-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ja-dim128-with-normalization/versions/1 +LaBSE,https://www.kaggle.com/models/google/labse/frameworks/tensorFlow2/variations/labse/versions/2 +nnlm-en-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/en-dim50-with-normalization/versions/1 +resnet_50/feature_vector,https://www.kaggle.com/models/tensorflow/resnet-50/frameworks/tensorFlow2/variations/feature-vector/versions/1 +universal-sentence-encoder-qa,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/qa/versions/2 +biggan-deep-256,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/deep-256/versions/1 +efficientdet/lite2/detection,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite2-detection/versions/1 +imagenet/mobilenet_v2_050_224/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/050-224-classification/versions/2 +mobilebert/uncased_L-24_H-128_B-512_A-4_F-4_OPT/squadv1,https://www.kaggle.com/models/google/mobilebert/frameworks/tensorFlow1/variations/uncased-l-24-h-128-b-512-a-4-f-4-opt-squadv1/versions/1 +delf,https://www.kaggle.com/models/google/delf/frameworks/tensorFlow1/variations/delf/versions/1 +ssd_mobilenet_v2,https://www.kaggle.com/models/tensorflow/ssd-mobilenet-v2/frameworks/tensorFlow2/variations/ssd-mobilenet-v2/versions/1 +imagenet/mobilenet_v3_large_075_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/large-075-224-feature-vector/versions/1 +centernet/hourglass_512x512_kpts,https://www.kaggle.com/models/tensorflow/centernet-hourglass/frameworks/tensorFlow2/variations/512x512-kpts/versions/1 +bert_cased_L-12_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/cased-l-12-h-768-a-12/versions/1 +biggan-512,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/512/versions/2 +tf2-preview/gnews-swivel-20dim-with-oov,https://www.kaggle.com/models/google/gnews-swivel/frameworks/tensorFlow2/variations/tf2-preview-20dim-with-oov/versions/1 +tf2-preview/nnlm-es-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-es-dim50-with-normalization/versions/1 +efficientnet/b4/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b4-feature-vector/versions/1 +enformer,https://www.kaggle.com/models/deepmind/enformer/frameworks/tensorFlow2/variations/enformer/versions/1 +efficientnet/b0/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b0-feature-vector/versions/1 +efficientnet/b0/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b0-feature-vector/versions/1 +aiy/vision/classifier/food_V1,https://www.kaggle.com/models/google/aiy/frameworks/tensorFlow1/variations/vision-classifier-food-v1/versions/1 +albert_en_base,https://www.kaggle.com/models/tensorflow/albert/frameworks/tensorFlow2/variations/en-base/versions/3 +imagenet/inception_v3/classification,https://www.kaggle.com/models/google/inception-v3/frameworks/tensorFlow2/variations/classification/versions/2 +nonsemantic-speech-benchmark/trill-distilled,https://www.kaggle.com/models/google/nonsemantic-speech-benchmark/frameworks/tensorFlow2/variations/trill-distilled/versions/3 +efficientnet/lite4/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite4-feature-vector/versions/2 +resnet_50/classification,https://www.kaggle.com/models/tensorflow/resnet-50/frameworks/tensorFlow2/variations/classification/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_m/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-m-feature-vector/versions/2 +imagenet/inception_v1/classification,https://www.kaggle.com/models/google/inception-v1/frameworks/tensorFlow2/variations/classification/versions/2 +bit/m-r50x1,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r50x1/versions/1 +progan-128,https://www.kaggle.com/models/google/progan-128/frameworks/tensorFlow1/variations/progan-128/versions/1 +biggan-256,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/256/versions/2 +nnlm-de-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/de-dim50-with-normalization/versions/1 +imagenet/efficientnet_v2_imagenet21k_b0/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b0-feature-vector/versions/1 +bert_multi_cased_preprocess,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/multi-cased-preprocess/versions/3 +imagenet/efficientnet_v2_imagenet21k_xl/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-xl-feature-vector/versions/1 +efficientnet/lite2/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite2-feature-vector/versions/2 +tfgan/eval/inception,https://www.kaggle.com/models/tensorflow/inception/frameworks/tensorFlow1/variations/tfgan-eval-inception/versions/1 +efficientdet/lite2/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite2-feature-vector/versions/1 +albert_lite_base,https://www.kaggle.com/models/tensorflow/albert/frameworks/tensorFlow2/variations/lite-base/versions/1 +efficientnet/lite1/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite1-feature-vector/versions/2 +imagenet/mobilenet_v3_large_100_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/large-100-224-feature-vector/versions/1 +efficientnet/lite4/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite4-classification/versions/2 +Wiki-words-250,https://www.kaggle.com/models/google/wiki-words/frameworks/tensorFlow2/variations/250/versions/1 +efficientnet/lite3/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite3-feature-vector/versions/2 +imagenet/inception_resnet_v2/feature_vector,https://www.kaggle.com/models/google/inception-resnet-v2/frameworks/tensorFlow2/variations/feature-vector/versions/2 +efficientdet/d0,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d0/versions/1 +tfgan/eval/mnist/logits,https://www.kaggle.com/models/tensorflow/mnist/frameworks/tensorFlow1/variations/logits/versions/1 +albert_en_preprocess,https://www.kaggle.com/models/tensorflow/albert/frameworks/tensorFlow2/variations/en-preprocess/versions/3 +bert_zh_L-12_H-768_A-12,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/zh-l-12-h-768-a-12/versions/4 +efficientdet/lite4/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite4-feature-vector/versions/2 +imagenet/mobilenet_v1_100_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-224-feature-vector/versions/2 +bert_chinese_L-12_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/chinese-l-12-h-768-a-12/versions/1 +mask_rcnn/inception_resnet_v2_1024x1024,https://www.kaggle.com/models/tensorflow/mask-rcnn-inception-resnet-v2/frameworks/tensorFlow2/variations/1024x1024/versions/1 +object_detection/mobile_object_localizer_v1,https://www.kaggle.com/models/google/mobile-object-localizer-v1/frameworks/tensorFlow1/variations/object-detection-mobile-object-localizer-v1/versions/1 +efficientdet/lite3/detection,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite3-detection/versions/1 +tf2-preview/inception_v3/classification,https://www.kaggle.com/models/google/inception-v3/frameworks/tensorFlow2/variations/tf2-preview-classification/versions/4 +imagenet/mobilenet_v2_035_96/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-96-classification/versions/2 +faster_rcnn/inception_resnet_v2_640x640,https://www.kaggle.com/models/tensorflow/faster-rcnn-inception-resnet-v2/frameworks/tensorFlow2/variations/640x640/versions/1 +imagenet/resnet_v2_50/classification,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/50-classification/versions/2 +aiy/vision/classifier/birds_V1,https://www.kaggle.com/models/google/aiy/frameworks/tensorFlow1/variations/vision-classifier-birds-v1/versions/1 +MuRIL,https://www.kaggle.com/models/google/muril/frameworks/tensorFlow2/variations/muril/versions/1 +efficientdet/lite1/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite1-feature-vector/versions/1 +random-nnlm-en-dim128,https://www.kaggle.com/models/google/random-nnlm-en/frameworks/tensorFlow1/variations/dim128/versions/1 +imagenet/inception_resnet_v2/classification,https://www.kaggle.com/models/google/inception-resnet-v2/frameworks/tensorFlow2/variations/classification/versions/2 +ssd_mobilenet_v2/fpnlite_320x320,https://www.kaggle.com/models/tensorflow/ssd-mobilenet-v2/frameworks/tensorFlow2/variations/fpnlite-320x320/versions/1 +centernet/resnet50v1_fpn_512x512,https://www.kaggle.com/models/tensorflow/centernet-resnet/frameworks/tensorFlow2/variations/50v1-fpn-512x512/versions/1 +small_bert/bert_en_uncased_L-2_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-2-h-256-a-4/versions/2 +imagenet/efficientnet_v2_imagenet1k_s/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-s-feature-vector/versions/2 +biggan-deep-512,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/deep-512/versions/1 +universal-sentence-encoder-cmlm/multilingual-base-br,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/cmlm-multilingual-base-br/versions/1 +faster_rcnn/resnet50_v1_640x640,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet50-v1-640x640/versions/1 +imagenet/mobilenet_v3_large_075_224/classification,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/large-075-224-classification/versions/1 +imagenet/mobilenet_v3_small_075_224/classification,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/small-075-224-classification/versions/1 +tweening_conv3d_bair,https://www.kaggle.com/models/google/tweening-conv3d/frameworks/tensorFlow1/variations/bair/versions/1 +efficientnet/b7/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b7-feature-vector/versions/1 +bert_en_cased_preprocess,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-cased-preprocess/versions/3 +bert_uncased_L-24_H-1024_A-16,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/uncased-l-24-h-1024-a-16/versions/1 +centernet/hourglass_512x512,https://www.kaggle.com/models/tensorflow/centernet-hourglass/frameworks/tensorFlow2/variations/512x512/versions/1 +imagenet/mobilenet_v2_035_128/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-128-feature-vector/versions/2 +efficientdet/d7,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d7/versions/1 +albert_en_xxlarge,https://www.kaggle.com/models/tensorflow/albert/frameworks/tensorFlow2/variations/en-xxlarge/versions/3 +efficientnet/lite3/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite3-classification/versions/2 +efficientdet/lite3/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite3-feature-vector/versions/1 +MuRIL_preprocess,https://www.kaggle.com/models/google/muril/frameworks/tensorFlow2/variations/preprocess/versions/1 +imagenet/inception_v1/feature_vector,https://www.kaggle.com/models/google/inception-v1/frameworks/tensorFlow2/variations/feature-vector/versions/2 +efficientdet/lite3x/detection,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite3x-detection/versions/1 +midas/v2,https://www.kaggle.com/models/intel/midas/frameworks/tensorFlow1/variations/v2/versions/2 +universal-sentence-encoder-cmlm/multilingual-base,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/cmlm-multilingual-base/versions/1 +imagenet/mobilenet_v1_075_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/075-224-feature-vector/versions/2 +bit/m-r50x1/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r50x1-ilsvrc2012-classification/versions/1 +imagenet/efficientnet_v2_imagenet1k_s/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-s-classification/versions/2 +nnlm-ja-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ja-dim50/versions/1 +electra_small,https://www.kaggle.com/models/google/electra/frameworks/tensorFlow2/variations/small/versions/2 +nonsemantic-speech-benchmark/trill,https://www.kaggle.com/models/google/nonsemantic-speech-benchmark/frameworks/tensorFlow2/variations/trill/versions/3 +bigbigan-resnet50,https://www.kaggle.com/models/deepmind/bigbigan/frameworks/tensorFlow1/variations/resnet50/versions/1 +imagenet/resnet_v2_152/feature_vector,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/152-feature-vector/versions/2 +efficientnet/lite2/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite2-classification/versions/2 +experts/bert/pubmed,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/pubmed/versions/2 +faster_rcnn/inception_resnet_v2_1024x1024,https://www.kaggle.com/models/tensorflow/faster-rcnn-inception-resnet-v2/frameworks/tensorFlow2/variations/1024x1024/versions/1 +ssd_mobilenet_v2/fpnlite_640x640,https://www.kaggle.com/models/tensorflow/ssd-mobilenet-v2/frameworks/tensorFlow2/variations/fpnlite-640x640/versions/1 +imagenet/resnet_v1_50/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow2/variations/50-classification/versions/2 +movinet/a5/base/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a5-base-kinetics-600-classification/versions/3 +biggan-128,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/128/versions/2 +Wiki-words-250-with-normalization,https://www.kaggle.com/models/google/wiki-words/frameworks/tensorFlow2/variations/250-with-normalization/versions/1 +sentence-t5/st5-base,https://www.kaggle.com/models/google/sentence-t5/frameworks/tensorFlow2/variations/st5-base/versions/1 +movinet/a2/base/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a2-base-kinetics-600-classification/versions/3 +bert_zh_preprocess,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/zh-preprocess/versions/3 +bert_en_cased_L-24_H-1024_A-16,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-cased-l-24-h-1024-a-16/versions/4 +inaturalist/inception_v3/feature_vector,https://www.kaggle.com/models/google/inception-v3/frameworks/tensorFlow2/variations/inaturalist-inception-v3-feature-vector/versions/2 +efficientnet/lite1/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow1/variations/lite1-classification/versions/2 +wav2vec2,https://www.kaggle.com/models/kaggle/wav2vec2/frameworks/tensorFlow2/variations/wav2vec2/versions/1 +experts/bert/wiki_books,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/wiki-books/versions/2 +retinanet/resnet50_v1_fpn_640x640,https://www.kaggle.com/models/tensorflow/retinanet-resnet/frameworks/tensorFlow2/variations/50-v1-fpn-640x640/versions/1 +bert_en_wwm_uncased_L-24_H-1024_A-16,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/en-wwm-uncased-l-24-h-1024-a-16/versions/4 +cropnet/classifier/cassava_disease_V1,https://www.kaggle.com/models/google/cropnet/frameworks/tensorFlow2/variations/classifier-cassava-disease-v1/versions/1 +midas/v2_1_small,https://www.kaggle.com/models/intel/midas/frameworks/tensorFlow1/variations/v2-1-small/versions/1 +object_detection/mobile_object_labeler_v1,https://www.kaggle.com/models/google/mobile-object-labeler-v1/frameworks/tensorFlow1/variations/object-detection-mobile-object-labeler-v1/versions/1 +imagenet/resnet_v2_101/classification,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/101-classification/versions/2 +electra_base,https://www.kaggle.com/models/google/electra/frameworks/tensorFlow2/variations/base/versions/2 +efficientdet/d4,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d4/versions/1 +small_bert/bert_en_uncased_L-6_H-512_A-8,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-6-h-512-a-8/versions/2 +mobilebert_multi_cased_L-24_H-128_B-512_A-4_F-4_OPT,https://www.kaggle.com/models/tensorflow/mobilebert/frameworks/tensorFlow2/variations/multi-cased-l-24-h-128-b-512-a-4-f-4-opt/versions/1 +i3d-kinetics-600,https://www.kaggle.com/models/deepmind/i3d-kinetics/frameworks/tensorFlow1/variations/600/versions/1 +imagenet/efficientnet_v2_imagenet21k_s/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-s-feature-vector/versions/2 +efficientdet/d1,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d1/versions/1 +nnlm-de-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/de-dim50/versions/1 +ganeval-cifar10-convnet,https://www.kaggle.com/models/deepmind/ganeval-cifar10-convnet/frameworks/tensorFlow1/variations/ganeval-cifar10-convnet/versions/1 +musiq/ava,https://www.kaggle.com/models/google/musiq/frameworks/tensorFlow2/variations/ava/versions/1 +talkheads_ggelu_bert_en_base,https://www.kaggle.com/models/tensorflow/talkheads-ggelu-bert-en/frameworks/tensorFlow2/variations/base/versions/2 +nnlm-es-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/es-dim128/versions/1 +esrgan-tf2,https://www.kaggle.com/models/kaggle/esrgan-tf2/frameworks/tensorFlow2/variations/esrgan-tf2/versions/1 +imagenet/mobilenet_v3_small_075_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/small-075-224-feature-vector/versions/1 +efficientnet/b2/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b2-feature-vector/versions/1 +efficientnet/b7/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b7-classification/versions/1 +small_bert/bert_en_uncased_L-12_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-12-h-256-a-4/versions/2 +imagenet/efficientnet_v2_imagenet21k_ft1k_xl/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-xl-feature-vector/versions/1 +ssd_mobilenet_v1/fpn_640x640,https://www.kaggle.com/models/tensorflow/ssd-mobilenet-v1/frameworks/tensorFlow2/variations/fpn-640x640/versions/1 +mil-nce/s3d,https://www.kaggle.com/models/deepmind/mil-nce/frameworks/tensorFlow1/variations/s3d/versions/1 +imagenet/nasnet_mobile/feature_vector,https://www.kaggle.com/models/google/nasnet/frameworks/tensorFlow2/variations/mobile-feature-vector/versions/2 +efficientnet/b4/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b4-feature-vector/versions/1 +imagenet/efficientnet_v2_imagenet21k_m/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-m-feature-vector/versions/2 +efficientdet/d2,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d2/versions/1 +Wiki-words-500,https://www.kaggle.com/models/google/wiki-words/frameworks/tensorFlow2/variations/500/versions/1 +imagenet/inception_v2/feature_vector,https://www.kaggle.com/models/google/inception-v2/frameworks/tensorFlow2/variations/feature-vector/versions/2 +disease-classification,https://www.kaggle.com/models/agripredict/disease-classification/frameworks/tensorFlow2/variations/disease-classification/versions/1 +biggan-deep-128,https://www.kaggle.com/models/deepmind/biggan/frameworks/tensorFlow1/variations/deep-128/versions/1 +bit/m-r101x3,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r101x3/versions/1 +centernet/hourglass_1024x1024,https://www.kaggle.com/models/tensorflow/centernet-hourglass/frameworks/tensorFlow2/variations/1024x1024/versions/1 +small_bert/bert_en_uncased_L-12_H-128_A-2,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-12-h-128-a-2/versions/2 +centernet/resnet50v2_512x512,https://www.kaggle.com/models/tensorflow/centernet-resnet/frameworks/tensorFlow2/variations/50v2-512x512/versions/1 +imagenet/resnet_v2_152/classification,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/152-classification/versions/2 +imagenet/mobilenet_v1_075_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/075-160-feature-vector/versions/2 +aiy/vision/classifier/plants_V1,https://www.kaggle.com/models/google/aiy/frameworks/tensorFlow1/variations/vision-classifier-plants-v1/versions/1 +imagenet/pnasnet_large/feature_vector,https://www.kaggle.com/models/google/pnasnet/frameworks/tensorFlow2/variations/large-feature-vector/versions/2 +faster_rcnn/resnet101_v1_640x640,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet101-v1-640x640/versions/1 +imagenet/mobilenet_v2_130_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/130-224-feature-vector/versions/2 +nnlm-es-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/es-dim128-with-normalization/versions/1 +bit/m-r50x1/imagenet21k_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r50x1-imagenet21k-classification/versions/1 +imagenet/resnet_v1_101/feature_vector,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow2/variations/101-feature-vector/versions/2 +experts/bert/wiki_books/sst2,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/wiki-books-sst2/versions/2 +retinanet/resnet152_v1_fpn_1024x1024,https://www.kaggle.com/models/tensorflow/retinanet-resnet/frameworks/tensorFlow2/variations/152-v1-fpn-1024x1024/versions/1 +small_bert/bert_en_uncased_L-6_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-6-h-256-a-4/versions/2 +movinet/a0/base/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a0-base-kinetics-600-classification/versions/3 +imagenet/efficientnet_v2_imagenet21k_ft1k_b0/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b0-feature-vector/versions/1 +imagenet/resnet_v2_101/feature_vector,https://www.kaggle.com/models/google/resnet-v2/frameworks/tensorFlow2/variations/101-feature-vector/versions/2 +imagenet/efficientnet_v2_imagenet21k_l/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-l-feature-vector/versions/2 +imagenet/nasnet_large/classification,https://www.kaggle.com/models/google/nasnet/frameworks/tensorFlow2/variations/large-classification/versions/2 +faster_rcnn/resnet152_v1_1024x1024,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet152-v1-1024x1024/versions/1 +vit_s16_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-s16-fe/versions/1 +zh_segmentation,https://www.kaggle.com/models/google/zh-segmentation/frameworks/tensorFlow1/variations/zh-segmentation/versions/1 +wiki40b-lm-es,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/es/versions/1 +centernet/resnet50v1_fpn_512x512_kpts,https://www.kaggle.com/models/tensorflow/centernet-resnet/frameworks/tensorFlow2/variations/50v1-fpn-512x512-kpts/versions/1 +nnlm-es-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/es-dim50-with-normalization/versions/1 +efficientdet/d6,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d6/versions/1 +cord-19/swivel-128d,https://www.kaggle.com/models/tensorflow/cord-19-swivel-128d/frameworks/tensorFlow2/variations/cord-19-swivel-128d/versions/2 +albert_large,https://www.kaggle.com/models/google/albert/frameworks/tensorFlow1/variations/large/versions/3 +centernet/resnet50v2_512x512_kpts,https://www.kaggle.com/models/tensorflow/centernet-resnet/frameworks/tensorFlow2/variations/50v2-512x512-kpts/versions/1 +efficientnet/b7/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b7-feature-vector/versions/1 +efficientnet/b5/feature-vector,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b5-feature-vector/versions/1 +imagenet/nasnet_large/feature_vector,https://www.kaggle.com/models/google/nasnet/frameworks/tensorFlow2/variations/large-feature-vector/versions/2 +centernet/resnet101v1_fpn_512x512,https://www.kaggle.com/models/tensorflow/centernet-resnet/frameworks/tensorFlow2/variations/101v1-fpn-512x512/versions/1 +retinanet/resnet152_v1_fpn_640x640,https://www.kaggle.com/models/tensorflow/retinanet-resnet/frameworks/tensorFlow2/variations/152-v1-fpn-640x640/versions/1 +movinet/a0/stream/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a0-stream-kinetics-600-classification/versions/2 +imagenet/mobilenet_v1_025_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-224-feature-vector/versions/2 +unet/industrial/class_1,https://tfhub.dev/nvidia/unet/industrial/class_1/1,skip,Model is not available +mobilebert_en_uncased_L-24_H-128_B-512_A-4_F-4_OPT,https://www.kaggle.com/models/tensorflow/mobilebert/frameworks/tensorFlow2/variations/en-uncased-l-24-h-128-b-512-a-4-f-4-opt/versions/1 +boundless/quarter,https://www.kaggle.com/models/google/boundless/frameworks/tensorFlow1/variations/quarter/versions/1 +gtr/gtr-base,https://www.kaggle.com/models/google/gtr/frameworks/tensorFlow2/variations/gtr-base/versions/1 +small_bert/bert_en_uncased_L-12_H-512_A-8,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-12-h-512-a-8/versions/2 +LAReQA/mBERT_En_En,https://www.kaggle.com/models/google/lareqa/frameworks/tensorFlow1/variations/mbert-en-en/versions/1 +efficientdet/d5,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d5/versions/1 +faster_rcnn/resnet101_v1_1024x1024,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet101-v1-1024x1024/versions/1 +film,https://www.kaggle.com/models/google/film/frameworks/tensorFlow2/variations/film/versions/1 +electra_large,https://www.kaggle.com/models/google/electra/frameworks/tensorFlow2/variations/large/versions/2 +small_bert/bert_uncased_L-2_H-128_A-2,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-2-h-128-a-2/versions/2 +imagenet/mobilenet_v1_075_224/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/075-224-classification/versions/2 +efficientdet/d3,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/d3/versions/1 +distilbert_en_uncased_preprocess,https://www.kaggle.com/models/jeongukjae/distilbert/frameworks/tensorFlow2/variations/en-uncased-preprocess/versions/2 +movinet/a2/stream/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a2-stream-kinetics-600-classification/versions/2 +movinet/a4/base/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a4-base-kinetics-600-classification/versions/3 +efficientnet/b6/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b6-feature-vector/versions/1 +nnlm-zh-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/zh-dim50/versions/1 +nnlm-id-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/id-dim128-with-normalization/versions/1 +imagenet/efficientnet_v2_imagenet1k_b3/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-b3-feature-vector/versions/2 +imagenet/efficientnet_v2_imagenet21k_ft1k_b3/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b3-feature-vector/versions/1 +humpback_whale,https://www.kaggle.com/models/google/humpback-whale/frameworks/tensorFlow2/variations/humpback-whale/versions/1 +nnlm-id-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/id-dim50/versions/1 +nonsemantic-speech-benchmark/frill,https://www.kaggle.com/models/google/nonsemantic-speech-benchmark/frameworks/tensorFlow2/variations/frill/versions/1 +vit_s16_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-s16-classification/versions/1 +faster_rcnn/resnet152_v1_800x1333,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet152-v1-800x1333/versions/1 +bit/s-r152x4,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r152x4/versions/1 +imagenet/resnet_v1_101/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow2/variations/101-classification/versions/2 +faster_rcnn/resnet50_v1_800x1333,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet50-v1-800x1333/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_l/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-l-feature-vector/versions/2 +distilbert_multi_cased_L-6_H-768_A-12,https://www.kaggle.com/models/jeongukjae/distilbert/frameworks/tensorFlow2/variations/multi-cased-l-6-h-768-a-12/versions/1 +imagenet/mobilenet_v2_050_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/050-224-feature-vector/versions/2 +roberta_en_cased_preprocess,https://www.kaggle.com/models/kaggle/roberta/frameworks/tensorFlow2/variations/en-cased-preprocess/versions/1 +efficientnet/b3/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b3-feature-vector/versions/1 +small_bert/bert_en_uncased_L-8_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-8-h-256-a-4/versions/2 +efficientnet/b7/classification,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b7-classification/versions/1 +bit/s-r50x1/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r50x1-ilsvrc2012-classification/versions/1 +tf2-preview/nnlm-ko-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-ko-dim128-with-normalization/versions/1 +imagenet/mobilenet_v2_100_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-160-feature-vector/versions/2 +imagenet/mobilenet_v1_025_128/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-128-classification/versions/2 +experts/bit/r50x1/in21k/food,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-food/versions/1 +imagenet/resnet_v1_152/feature_vector,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow2/variations/152-feature-vector/versions/2 +faster_rcnn/resnet101_v1_800x1333,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet101-v1-800x1333/versions/1 +bit/s-r50x3,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r50x3/versions/1 +smaller_LaBSE_15lang,https://www.kaggle.com/models/kaggle/smaller-labse-15lang/frameworks/tensorFlow2/variations/smaller-labse-15lang/versions/1 +imagenet/mobilenet_v2_100_96/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-96-classification/versions/2 +imagenet/mobilenet_v2_100_192/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-192-feature-vector/versions/2 +tiny_video_net/tvn1,https://www.kaggle.com/models/google/tiny-video-net/frameworks/tensorFlow1/variations/tvn1/versions/1 +nnlm-id-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/id-dim128/versions/1 +lambert_en_uncased_L-24_H-1024_A-16,https://www.kaggle.com/models/tensorflow/lambert/frameworks/tensorFlow2/variations/en-uncased-l-24-h-1024-a-16/versions/2 +imagenet/amoebanet_a_n18_f448/classification,https://www.kaggle.com/models/google/amoebanet/frameworks/tensorFlow1/variations/a-n18-f448-classification/versions/1 +retinanet/resnet101_v1_fpn_1024x1024,https://www.kaggle.com/models/tensorflow/retinanet-resnet/frameworks/tensorFlow2/variations/101-v1-fpn-1024x1024/versions/1 +imagenet/mobilenet_v1_025_192/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-192-feature-vector/versions/2 +imagenet/mobilenet_v2_100_160/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-160-classification/versions/2 +imagenet/inception_v2/classification,https://www.kaggle.com/models/google/inception-v2/frameworks/tensorFlow2/variations/classification/versions/2 +efficientnet/b5/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b5-feature-vector/versions/1 +distilbert_multi_cased_preprocess,https://www.kaggle.com/models/jeongukjae/distilbert/frameworks/tensorFlow2/variations/multi-cased-preprocess/versions/2 +nnlm-de-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/de-dim128/versions/1 +bertseq2seq/roberta24_gigaword,https://www.kaggle.com/models/google/bertseq2seq/frameworks/tensorFlow1/variations/roberta24-gigaword/versions/1 +vit_b8_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-b8-fe/versions/1 +aiy/vision/classifier/insects_V1,https://www.kaggle.com/models/google/aiy/frameworks/tensorFlow1/variations/vision-classifier-insects-v1/versions/1 +bertseq2seq/roberta24_cnndm,https://www.kaggle.com/models/google/bertseq2seq/frameworks/tensorFlow1/variations/roberta24-cnndm/versions/1 +movinet/a1/base/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a1-base-kinetics-600-classification/versions/3 +remote_sensing/eurosat-resnet50,https://www.kaggle.com/models/google/resnet50/frameworks/tensorFlow1/variations/remote-sensing-eurosat-resnet50/versions/1 +universal-sentence-encoder-cmlm/en-large,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow2/variations/cmlm-en-large/versions/1 +imagenet/mobilenet_v2_050_96/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/050-96-feature-vector/versions/2 +efficientnet/b3/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b3-classification/versions/1 +imagenet/efficientnet_v2_imagenet21k_b1/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b1-feature-vector/versions/1 +universal-sentence-encoder-xling/en-de,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow1/variations/xling-en-de/versions/1 +bit/s-r101x1,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r101x1/versions/1 +smaller_LaBSE_15lang_preprocess,https://www.kaggle.com/models/kaggle/smaller-labse-15lang/frameworks/tensorFlow2/variations/preprocess/versions/1 +vgg19-block5-conv2-unpooling-decoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block5-conv2-unpooling-decoder/versions/1 +imagenet/mobilenet_v1_050_224/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/050-224-classification/versions/2 +efficientnet/b5/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b5-classification/versions/1 +imagenet/efficientnet_v2_imagenet21k_b3/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b3-feature-vector/versions/1 +experts/bert/wiki_books/mnli,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/wiki-books-mnli/versions/2 +tf2-preview/nnlm-en-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-en-dim50-with-normalization/versions/1 +efficientnet/b1/feature-vector,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b1-feature-vector/versions/1 +cropnet/feature_vector/concat,https://www.kaggle.com/models/google/cropnet/frameworks/tensorFlow2/variations/feature-vector-concat/versions/1 +efficientnet/b5/classification,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b5-classification/versions/1 +bit/m-r101x1/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r101x1-ilsvrc2012-classification/versions/1 +imagenet/efficientnet_v2_imagenet1k_l/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-l-classification/versions/2 +nnlm-zh-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/zh-dim128/versions/1 +tf2-preview/nnlm-ja-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-ja-dim128-with-normalization/versions/1 +imagenet/resnet_v1_152/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow2/variations/152-classification/versions/2 +covid-twitter-bert,https://www.kaggle.com/models/kaggle/covid-twitter-bert/frameworks/tensorFlow2/variations/covid-twitter-bert/versions/2 +imagenet/efficientnet_v2_imagenet21k_b0/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b0-classification/versions/1 +silero-stt/en,https://tfhub.dev/silero/silero-stt/en/1,skip,Model is not available +experts/bit/r50x1/in21k/clothing,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-clothing/versions/1 +roberta_en_cased_L-12_H-768_A-12,https://www.kaggle.com/models/kaggle/roberta/frameworks/tensorFlow2/variations/en-cased-l-12-h-768-a-12/versions/1 +on_device_vision/classifier/landmarks_classifier_north_america_V1,https://www.kaggle.com/models/google/landmarks/frameworks/tensorFlow1/variations/classifier-north-america-v1/versions/1 +bit/s-r50x3/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r50x3-ilsvrc2012-classification/versions/1 +cond-biggan,https://www.kaggle.com/models/vtab/cond-biggan/frameworks/tensorFlow1/variations/cond-biggan/versions/1 +LAReQA/mBERT_X_Y,https://www.kaggle.com/models/google/lareqa/frameworks/tensorFlow1/variations/mbert-x-y/versions/1 +imagenet/mobilenet_v2_100_192/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-192-classification/versions/2 +nnlm-es-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/es-dim50/versions/1 +supcon/resnet_v1_50/imagenet/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow1/variations/50-imagenet-classification/versions/1 +nnlm-zh-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/zh-dim128-with-normalization/versions/1 +experts/bit/r50x1/in21k/animal,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-animal/versions/1 +imagenet/mobilenet_v2_035_96/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-96-feature-vector/versions/2 +edgetpu/vision/deeplab-edgetpu/fused_argmax/xs,https://www.kaggle.com/models/google/deeplab-edgetpu/frameworks/tensorFlow2/variations/fused-argmax-xs/versions/1 +efficientnet/b2/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b2-classification/versions/1 +sentence-t5/st5-large,https://www.kaggle.com/models/google/sentence-t5/frameworks/tensorFlow2/variations/st5-large/versions/1 +on_device_vision/classifier/landmarks_classifier_europe_V1,https://www.kaggle.com/models/google/landmarks/frameworks/tensorFlow1/variations/classifier-europe-v1/versions/1 +bit/m-r50x3/imagenet21k_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r50x3-imagenet21k-classification/versions/1 +mmv/s3d,https://www.kaggle.com/models/deepmind/mmv/frameworks/tensorFlow1/variations/s3d/versions/1 +soundstream/mel/decoder/music,https://www.kaggle.com/models/google/soundstream/frameworks/tensorFlow2/variations/mel-decoder-music/versions/1 +imagenet/mobilenet_v2_075_160/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-160-classification/versions/2 +imagenet/efficientnet_v2_imagenet21k_ft1k_s/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-s-classification/versions/2 +imagenet/mobilenet_v2_075_128/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-128-feature-vector/versions/2 +ulmfit/en/sp35k_uncased,https://www.kaggle.com/models/edrone/ulmfit/frameworks/tensorFlow2/variations/en-sp35k-uncased/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_b0/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b0-classification/versions/1 +imagenet/mobilenet_v2_075_96/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-96-feature-vector/versions/2 +bertseq2seq/roberta24_wikisplit,https://www.kaggle.com/models/google/bertseq2seq/frameworks/tensorFlow1/variations/roberta24-wikisplit/versions/1 +imagenet/mobilenet_v1_100_128/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-128-feature-vector/versions/2 +regnety800mf_classification,https://www.kaggle.com/models/adityakane/regnety/frameworks/tensorFlow2/variations/800mf-classification/versions/1 +mmv/tsm-resnet50x2,https://www.kaggle.com/models/deepmind/mmv/frameworks/tensorFlow1/variations/tsm-resnet50x2/versions/1 +vgg19-block1-conv2-unpooling-encoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block1-conv2-unpooling-encoder/versions/1 +efficientnet/b2/classification,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b2-classification/versions/1 +imagenet/mobilenet_v2_050_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/050-160-feature-vector/versions/2 +imagenet/mobilenet_v2_075_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-224-feature-vector/versions/2 +cropnet/feature_vector/imagenet,https://www.kaggle.com/models/google/cropnet/frameworks/tensorFlow2/variations/feature-vector-imagenet/versions/1 +nnlm-ko-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ko-dim50-with-normalization/versions/1 +vgg19-block2-conv2-unpooling-encoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block2-conv2-unpooling-encoder/versions/1 +experts/bit/r50x1/in21k/solid,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-solid/versions/1 +efficientnet/b4/classification,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b4-classification/versions/1 +regnety400mf_classification,https://www.kaggle.com/models/adityakane/regnety/frameworks/tensorFlow2/variations/400mf-classification/versions/1 +bit/m-r152x4/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r152x4-ilsvrc2012-classification/versions/1 +nnlm-zh-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/zh-dim50-with-normalization/versions/1 +on_device_vision/classifier/landmarks_classifier_south_america_V1,https://www.kaggle.com/models/google/landmarks/frameworks/tensorFlow1/variations/classifier-south-america-v1/versions/1 +unsupervised-adversarial-training/cifar10/wrn_106,https://www.kaggle.com/models/deepmind/wrn-106/frameworks/tensorFlow1/variations/unsupervised-adversarial-training-cifar10-wrn-106/versions/1 +tf2-preview/nnlm-de-dim128-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-de-dim128-with-normalization/versions/1 +wiki40b-lm-zh-cn,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/zh-cn/versions/1 +on_device_vision/classifier/landmarks_classifier_africa_V1,https://www.kaggle.com/models/google/landmarks/frameworks/tensorFlow1/variations/classifier-africa-v1/versions/1 +regnety200mf_classification,https://www.kaggle.com/models/adityakane/regnety/frameworks/tensorFlow2/variations/200mf-classification/versions/1 +talkheads_ggelu_bert_en_large,https://www.kaggle.com/models/tensorflow/talkheads-ggelu-bert-en/frameworks/tensorFlow2/variations/large/versions/2 +imagenet/efficientnet_v2_imagenet1k_m/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-m-classification/versions/2 +HRNet/coco-hrnetv2-w48,https://www.kaggle.com/models/google/hrnet/frameworks/tensorFlow2/variations/hrnet-coco-hrnetv2-w48/versions/1 +imagenet/mobilenet_v2_050_192/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/050-192-feature-vector/versions/2 +imagenet/mobilenet_v1_050_128/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/050-128-feature-vector/versions/2 +experts/bert/pubmed/squad2,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/pubmed-squad2/versions/2 +german-mbmelgan,https://www.kaggle.com/models/myusufs/german-mbmelgan/frameworks/tensorFlow2/variations/german-mbmelgan/versions/1 +supcon/resnet_v1_101/imagenet/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow1/variations/101-imagenet-classification/versions/1 +wiki40b-lm-fr,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/fr/versions/1 +bit/m-r101x3/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r101x3-ilsvrc2012-classification/versions/1 +imagenet/mobilenet_v1_100_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-160-feature-vector/versions/2 +imagenet/mobilenet_v2_035_128/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-128-classification/versions/2 +edgetpu/vision/autoseg-edgetpu/fused_argmax/xs,https://www.kaggle.com/models/google/autoseg-edgetpu/frameworks/tensorFlow2/variations/fused-argmax-xs/versions/1 +bit/s-r101x1/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r101x1-ilsvrc2012-classification/versions/1 +german-tacotron2,https://www.kaggle.com/models/myusufs/german-tacotron2/frameworks/tensorFlow2/variations/german-tacotron2/versions/1 +convnext_xlarge_21k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/xlarge-21k-224/versions/1 +gtr/gtr-large,https://www.kaggle.com/models/google/gtr/frameworks/tensorFlow2/variations/gtr-large/versions/1 +AraBERT,https://www.kaggle.com/models/kaggle/arabert/frameworks/tensorFlow2/variations/arabert/versions/1 +trillsson1,https://www.kaggle.com/models/google/trillsson/frameworks/tensorFlow2/variations/1/versions/1 +imagenet/mobilenet_v1_050_128/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/050-128-classification/versions/2 +tf2-preview/nnlm-de-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-de-dim50-with-normalization/versions/1 +imagenet/mobilenet_v1_100_192/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-192-feature-vector/versions/2 +efficientnet/b6/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b6-classification/versions/1 +vit_b8_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-b8-classification/versions/1 +universal-sentence-encoder-xling/en-es,https://www.kaggle.com/models/google/universal-sentence-encoder/frameworks/tensorFlow1/variations/xling-en-es/versions/1 +mil-nce/i3d,https://www.kaggle.com/models/deepmind/mil-nce/frameworks/tensorFlow1/variations/i3d/versions/1 +vit_l16_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-l16-fe/versions/1 +nonsemantic-speech-benchmark/frill-nofrontend,https://www.kaggle.com/models/google/nonsemantic-speech-benchmark/frameworks/tensorFlow2/variations/frill-nofrontend/versions/1 +vit_r50_l32_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-r50-l32-fe/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_b2/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b2-feature-vector/versions/1 +remote_sensing/so2sat-resnet50,https://www.kaggle.com/models/google/resnet50/frameworks/tensorFlow1/variations/remote-sensing-so2sat-resnet50/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_b3/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b3-classification/versions/1 +experts/bit/r50x1/in21k/spermatophyte,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-spermatophyte/versions/1 +uncond-biggan,https://www.kaggle.com/models/vtab/uncond-biggan/frameworks/tensorFlow1/variations/uncond-biggan/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_l/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-l-classification/versions/2 +tiny_video_net/tvn3,https://www.kaggle.com/models/google/tiny-video-net/frameworks/tensorFlow1/variations/tvn3/versions/1 +imagenet/mobilenet_v2_035_192/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-192-classification/versions/2 +tf2-preview/nnlm-ko-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-ko-dim50/versions/1 +imagenet/mobilenet_v2_035_160/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-160-classification/versions/2 +small_bert/bert_uncased_L-4_H-128_A-2,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-4-h-128-a-2/versions/2 +bit/m-r101x1/imagenet21k_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r101x1-imagenet21k-classification/versions/1 +efficientnet/b3/classification,https://www.kaggle.com/models/google/efficientnet/frameworks/tensorFlow1/variations/b3-classification/versions/1 +imagenet/efficientnet_v2_imagenet1k_b2/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-b2-classification/versions/2 +wav2vec2-xlsr-53,https://www.kaggle.com/models/kaggle/wav2vec2/frameworks/tensorFlow2/variations/xlsr-53/versions/1 +unet/industrial/class_10,https://tfhub.dev/nvidia/unet/industrial/class_10/1,skip,Model is not available +movinet/a5/stream/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a5-stream-kinetics-600-classification/versions/2 +vit_r26_s32_lightaug_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-r26-s32-lightaug-fe/versions/1 +mmt/architecture_image-q-24,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-image-q-24/versions/1 +wiki40b-lm-nl,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/nl/versions/1 +imagenet/efficientnet_v2_imagenet21k_m/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-m-classification/versions/2 +tf2-preview/nnlm-zh-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-zh-dim50/versions/1 +edgetpu/vision/deeplab-edgetpu/fused_argmax/s,https://www.kaggle.com/models/google/deeplab-edgetpu/frameworks/tensorFlow2/variations/fused-argmax-s/versions/1 +compare_gan/model_9_celebahq128_resnet19,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-9-celebahq128-resnet19/versions/1 +tf2-preview/nnlm-zh-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-zh-dim128/versions/1 +imagenet/mobilenet_v1_025_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-160-feature-vector/versions/2 +tweening_conv3d_kth,https://www.kaggle.com/models/google/tweening-conv3d/frameworks/tensorFlow1/variations/kth/versions/1 +imagenet/efficientnet_v2_imagenet1k_b1/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-b1-classification/versions/2 +edgetpu/vision/autoseg-edgetpu/default_argmax/s,https://www.kaggle.com/models/google/autoseg-edgetpu/frameworks/tensorFlow2/variations/default-argmax-s/versions/1 +LAReQA/mBERT_X_X_mono,https://www.kaggle.com/models/google/lareqa/frameworks/tensorFlow1/variations/mbert-x-x-mono/versions/1 +experts/bit/r50x1/in21k/object,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-object/versions/1 +small_bert/bert_en_uncased_L-10_H-256_A-4,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-10-h-256-a-4/versions/2 +supcon/resnet_v1_200/imagenet/classification,https://www.kaggle.com/models/google/resnet-v1/frameworks/tensorFlow1/variations/200-imagenet-classification/versions/1 +small_bert/bert_uncased_L-6_H-128_A-2,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-6-h-128-a-2/versions/2 +tf2-preview/nnlm-ja-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-ja-dim50/versions/1 +nnlm-ko-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ko-dim50/versions/1 +compare_gan/model_12_cifar10_resnet_cifar,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-12-cifar10-resnet-cifar/versions/1 +spiral/default-fluid-gansn-celebahq64-gen-19steps,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-fluid-gansn-celebahq64-gen-19steps/versions/1 +compare_gan/s3gan_5_128x128,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/s3gan-5-128x128/versions/1 +convnext_base_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-1k-224-fe/versions/1 +convnext_base_1k_384,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-1k-384/versions/1 +edgetpu/vision/mobilenet-edgetpu-v2/l,https://www.kaggle.com/models/google/mobilenet-edgetpu-v2/frameworks/tensorFlow2/variations/l/versions/1 +small_bert/bert_uncased_L-4_H-512_A-8,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-4-h-512-a-8/versions/2 +experts/bit/r50x1/in21k/flower,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-flower/versions/1 +distill_bit_r50x1_160_feature_extraction,https://www.kaggle.com/models/spsayakpaul/bit-resnet/frameworks/tensorFlow2/variations/distill-bit-r50x1-160-feature-extraction/versions/1 +edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/l,https://www.kaggle.com/models/google/mobilenet-edgetpu-v2/frameworks/tensorFlow2/variations/feature-vector-l/versions/2 +spiral/default-wgangp-celebahq64-gen-19steps/agent5,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent5/versions/1 +image_augmentation/crop_rotate_color,https://www.kaggle.com/models/google/image-augmentation/frameworks/tensorFlow1/variations/crop-rotate-color/versions/1 +tf2-preview/nnlm-id-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-id-dim50-with-normalization/versions/1 +imagenet/mobilenet_v2_035_192/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-192-feature-vector/versions/2 +small_bert/bert_uncased_L-12_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-12-h-768-a-12/versions/2 +xlm_roberta_multi_cased_L-24_H-1024_A-16,https://www.kaggle.com/models/kaggle/xlm-roberta/frameworks/tensorFlow2/variations/multi-cased-l-24-h-1024-a-16/versions/1 +regnety600mf_classification,https://www.kaggle.com/models/adityakane/regnety/frameworks/tensorFlow2/variations/600mf-classification/versions/1 +convnext_tiny_1k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/tiny-1k-224/versions/1 +tf2-preview/nnlm-es-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-es-dim128/versions/1 +vision/embedder/fungi_V2,https://tfhub.dev/svampeatlas/vision/embedder/fungi_V2/1,skip,Model is not available +imagenet/mobilenet_v1_050_128/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/050-128-quantops-feature-vector/versions/2 +wiki40b-lm-sr,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/sr/versions/1 +imagenet/mobilenet_v1_075_160/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/075-160-classification/versions/2 +small_bert/bert_uncased_L-6_H-512_A-8,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-6-h-512-a-8/versions/2 +tf2-preview/nnlm-es-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-es-dim50/versions/1 +sup-rotation-100,https://www.kaggle.com/models/vtab/sup-rotation-100/frameworks/tensorFlow1/variations/sup-rotation-100/versions/1 +wiki40b-lm-ko,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/ko/versions/1 +imagenet/mobilenet_v2_075_128/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-128-classification/versions/2 +efficientdet/lite3x/feature-vector,https://www.kaggle.com/models/tensorflow/efficientdet/frameworks/tensorFlow2/variations/lite3x-feature-vector/versions/1 +mmt/baseline_baseline,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/baseline-baseline/versions/1 +boundless/three_quarter,https://www.kaggle.com/models/google/boundless/frameworks/tensorFlow1/variations/three-quarter/versions/1 +imagenet/mobilenet_v1_100_160/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/100-160-classification/versions/2 +unet/industrial/class_3,https://tfhub.dev/nvidia/unet/industrial/class_3/1,skip,Model is not available +imagenet/mobilenet_v1_050_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/050-160-feature-vector/versions/2 +musiq/koniq-10k,https://www.kaggle.com/models/google/musiq/frameworks/tensorFlow2/variations/koniq-10k/versions/1 +vision/embedder/inaturalist_V2,https://tfhub.dev/inaturalist/vision/embedder/inaturalist_V2/1,skip,Model is not available +relative-patch-location,https://www.kaggle.com/models/vtab/relative-patch-location/frameworks/tensorFlow1/variations/relative-patch-location/versions/1 +experts/bit/r50x1/in21k/mammal,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-mammal/versions/1 +imagenet/mobilenet_v1_100_128/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/100-128-quantops-classification/versions/2 +ulmfit/en/sp35k_cased,https://www.kaggle.com/models/edrone/ulmfit/frameworks/tensorFlow2/variations/en-sp35k-cased/versions/1 +edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/tiny,https://www.kaggle.com/models/google/mobilenet-edgetpu-v2/frameworks/tensorFlow2/variations/feature-vector-tiny/versions/2 +sentence-t5/st5-3b,https://www.kaggle.com/models/google/sentence-t5/frameworks/tensorFlow2/variations/st5-3b/versions/1 +tf2nq,https://www.kaggle.com/models/kaggle/tf2nq/frameworks/tensorFlow2/variations/tf2nq/versions/1 +bertseq2seq/bert24_en_de,https://www.kaggle.com/models/google/bertseq2seq/frameworks/tensorFlow1/variations/bert24-en-de/versions/1 +edgetpu/nlp/mobilebert-edgetpu/m,https://www.kaggle.com/models/google/mobilebert-edgetpu/frameworks/tensorFlow2/variations/m/versions/1 +vit_b32_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-b32-fe/versions/1 +experts/bit/r50x1/in21k/structure,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-structure/versions/1 +vit_b32_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-b32-classification/versions/1 +wiki40b-lm-ca,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/ca/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent3,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent3/versions/1 +imagenet/mobilenet_v1_100_224/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/100-224-quantops-classification/versions/2 +imagenet/mobilenet_v1_025_128/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/025-128-quantops-classification/versions/2 +bit/s-r152x4/ilsvrc2012_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/s-r152x4-ilsvrc2012-classification/versions/1 +ulmfit/pl/sp50k_uncased,https://www.kaggle.com/models/edrone/ulmfit/frameworks/tensorFlow2/variations/pl-sp50k-uncased/versions/1 +vgg19-block3-conv2-unpooling-encoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block3-conv2-unpooling-encoder/versions/1 +experts/bert/wiki_books/qqp,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/wiki-books-qqp/versions/2 +remote_sensing/uc_merced-resnet50,https://www.kaggle.com/models/google/resnet50/frameworks/tensorFlow1/variations/remote-sensing-uc-merced-resnet50/versions/1 +mixer_b16_i1k_fe,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-i1k-fe/versions/1 +mmt/loss_single-modality-contrastive1024,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/loss-single-modality-contrastive1024/versions/1 +regnety600mf_feature_extractor,https://www.kaggle.com/models/adityakane/regnety/frameworks/tensorFlow2/variations/600mf-feature-extractor/versions/1 +exemplar,https://www.kaggle.com/models/vtab/exemplar/frameworks/tensorFlow1/variations/exemplar/versions/1 +imagenet/mobilenet_v1_025_192/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow2/variations/025-192-classification/versions/2 +wiki40b-lm-tr,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/tr/versions/1 +mixer_b16_sam_fe,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-sam-fe/versions/1 +logit_reconstruction/robust,https://www.kaggle.com/models/google/logit-reconstruction/frameworks/tensorFlow1/variations/robust/versions/1 +mmt/baseline_baseline-no-bert-transfer,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/baseline-baseline-no-bert-transfer/versions/1 +nnlm-ko-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/ko-dim128/versions/1 +experts/bit/r50x1/in21k/angiosperm,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-angiosperm/versions/1 +vit_l16_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-l16-classification/versions/1 +wiki40b-lm-lt,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/lt/versions/1 +mixer_l16_i21k_classification,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-l16-i21k-classification/versions/1 +wiki40b-lm-pl,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/pl/versions/1 +imagenet/efficientnet_v2_imagenet21k_b3/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b3-classification/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent8,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent8/versions/1 +experts/bit/r50x1/in21k/carnivore,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-carnivore/versions/1 +HRNet/ade20k-hrnetv2-w48,https://www.kaggle.com/models/google/hrnet/frameworks/tensorFlow2/variations/hrnet-ade20k-hrnetv2-w48/versions/1 +wae-gan,https://www.kaggle.com/models/vtab/wae-gan/frameworks/tensorFlow1/variations/wae-gan/versions/1 +mmt/architecture_image-q-12,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-image-q-12/versions/1 +MuRIL-Large,https://www.kaggle.com/models/google/muril/frameworks/tensorFlow2/variations/large/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent9,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent9/versions/1 +swin_large_patch4_window7_224_in22k_fe,https://www.kaggle.com/models/spsayakpaul/swin/frameworks/tensorFlow2/variations/large-patch4-window7-224-in22k-fe/versions/1 +answer_equivalence/bem,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow2/variations/answer-equivalence-bem/versions/1 +wiki40b-lm-id,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/id/versions/1 +edgetpu/nlp/mobilebert-edgetpu/xs,https://www.kaggle.com/models/google/mobilebert-edgetpu/frameworks/tensorFlow2/variations/xs/versions/1 +experts/bit/r50x1/in21k/artifact,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-artifact/versions/1 +distilbert_en_cased_preprocess,https://www.kaggle.com/models/jeongukjae/distilbert/frameworks/tensorFlow2/variations/en-cased-preprocess/versions/2 +experts/bit/r50x1/in21k/conveyance,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-conveyance/versions/1 +wiki40b-lm-ar,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/ar/versions/1 +compare_gan/model_2_celebahq128_resnet19,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-2-celebahq128-resnet19/versions/1 +experts/bit/r50x1/in21k/living_thing,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-living-thing/versions/1 +wae-mmd,https://www.kaggle.com/models/vtab/wae-mmd/frameworks/tensorFlow1/variations/wae-mmd/versions/1 +american-sign-language,https://www.kaggle.com/models/sayannath235/american-sign-language/frameworks/tensorFlow2/variations/american-sign-language/versions/1 +vgg19-block4-conv2-unpooling-decoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block4-conv2-unpooling-decoder/versions/1 +experts/bit/r50x1/in21k/plant,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-plant/versions/1 +compare_gan/ssgan_128x128,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/ssgan-128x128/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent4,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent4/versions/1 +image_augmentation/crop_color,https://www.kaggle.com/models/google/image-augmentation/frameworks/tensorFlow1/variations/crop-color/versions/1 +vae,https://www.kaggle.com/models/vtab/vae/frameworks/tensorFlow1/variations/vae/versions/1 +experts/bit/r50x1/in21k/arthropod,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-arthropod/versions/1 +roberta_en_cased_L-24_H-1024_A-16,https://www.kaggle.com/models/kaggle/roberta/frameworks/tensorFlow2/variations/en-cased-l-24-h-1024-a-16/versions/1 +wiki40b-lm-fa,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/fa/versions/1 +vit_r26_s32_medaug_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-r26-s32-medaug-classification/versions/1 +remote_sensing/eurosat-ms-resnet50,https://www.kaggle.com/models/google/resnet50/frameworks/tensorFlow1/variations/remote-sensing-eurosat-ms-resnet50/versions/1 +compare_gan/model_10_lsun_bedroom_resnet19,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-10-lsun-bedroom-resnet19/versions/1 +convnext_xlarge_21k_1k_384_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/xlarge-21k-1k-384-fe/versions/1 +mobilevit_xxs_1k_256_fe,https://www.kaggle.com/models/kaggle/mobilevit/frameworks/tensorFlow2/variations/xxs-1k-256-fe/versions/1 +mmt/data_cc,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-cc/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent1,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent1/versions/1 +small_bert/bert_uncased_L-8_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-8-h-768-a-12/versions/2 +edgetpu/vision/deeplab-edgetpu/fused_argmax/m,https://www.kaggle.com/models/google/deeplab-edgetpu/frameworks/tensorFlow2/variations/fused-argmax-m/versions/1 +image_augmentation/nas_imagenet,https://www.kaggle.com/models/google/image-augmentation/frameworks/tensorFlow1/variations/nas-imagenet/versions/1 +mixer_b16_i21k_fe,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-i21k-fe/versions/1 +nonsemantic-speech-benchmark/trillsson1,https://www.kaggle.com/models/google/trillsson/frameworks/tensorFlow2/variations/nonsemantic-speech-benchmark-trillsson1/versions/1 +trillsson5,https://www.kaggle.com/models/google/trillsson/frameworks/tensorFlow2/variations/5/versions/1 +logit_reconstruction/inceptionv3,https://www.kaggle.com/models/google/logit-reconstruction/frameworks/tensorFlow1/variations/inceptionv3/versions/1 +spiral/default-wgangp-celebahq64-gen-19steps/agent6,https://www.kaggle.com/models/deepmind/spiral/frameworks/tensorFlow1/variations/default-wgangp-celebahq64-gen-19steps-agent6/versions/1 +tf2-preview/nnlm-id-dim128,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-id-dim128/versions/1 +LEALLA/LEALLA-large,https://www.kaggle.com/models/google/lealla/frameworks/tensorFlow2/variations/lealla-large/versions/1 +compare_gan/model_13_cifar10_resnet_cifar,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-13-cifar10-resnet-cifar/versions/1 +distilkobert_cased_L-3_H-768_A-12,https://www.kaggle.com/models/jeongukjae/distilkobert/frameworks/tensorFlow2/variations/cased-l-3-h-768-a-12/versions/1 +imagenet/mobilenet_v1_100_192/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/100-192-quantops-feature-vector/versions/2 +vit_b16_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-b16-classification/versions/1 +convnext_base_21k_1k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-21k-1k-224/versions/1 +compare_gan/model_11_cifar10_resnet_cifar,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-11-cifar10-resnet-cifar/versions/1 +wiki40b-lm-fi,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/fi/versions/1 +vit_r26_s32_medaug_fe,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-r26-s32-medaug-fe/versions/1 +distill_bit_r50x1_224_feature_extraction,https://www.kaggle.com/models/spsayakpaul/bit-resnet/frameworks/tensorFlow2/variations/distill-bit-r50x1-224-feature-extraction/versions/1 +small_bert/bert_uncased_L-2_H-256_A-4,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-2-h-256-a-4/versions/2 +edgetpu/vision/autoseg-edgetpu/fused_argmax/s,https://www.kaggle.com/models/google/autoseg-edgetpu/frameworks/tensorFlow2/variations/fused-argmax-s/versions/1 +image_augmentation/flipx_crop_rotate_color,https://www.kaggle.com/models/google/image-augmentation/frameworks/tensorFlow1/variations/flipx-crop-rotate-color/versions/1 +circularnet_3,https://www.kaggle.com/models/google/circularnet/frameworks/tensorFlow2/variations/3/versions/1 +random-nnlm-en-dim50,https://www.kaggle.com/models/google/random-nnlm-en/frameworks/tensorFlow1/variations/dim50/versions/1 +mixer_b16_i21k_classification,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-i21k-classification/versions/1 +imagenet/mobilenet_v1_025_160/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/025-160-quantops-classification/versions/2 +imagenet/mobilenet_v1_075_224/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/075-224-quantops-feature-vector/versions/2 +imagenet/mobilenet_v1_050_192/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/050-192-quantops-feature-vector/versions/2 +experts/bit/r50x1/in21k/herb,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-herb/versions/1 +sup-exemplar-100,https://www.kaggle.com/models/vtab/sup-exemplar-100/frameworks/tensorFlow1/variations/sup-exemplar-100/versions/1 +mixer_b16_sam_classification,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-sam-classification/versions/1 +imagenet/mobilenet_v1_075_224/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/075-224-quantops-classification/versions/2 +wav2vec2-robust,https://www.kaggle.com/models/kaggle/wav2vec2/frameworks/tensorFlow2/variations/robust/versions/1 +mixer_l16_i1k_classification,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-l16-i1k-classification/versions/1 +planet/vision/classifier/planet_v2,https://www.kaggle.com/models/google/planet-v2/frameworks/tensorFlow1/variations/planet-vision-classifier-planet-v2/versions/1 +wiki40b-lm-lv,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/lv/versions/1 +sentence-t5/st5-11b,https://www.kaggle.com/models/google/sentence-t5/frameworks/tensorFlow2/variations/st5-11b/versions/1 +gtr/gtr-xxl,https://www.kaggle.com/models/google/gtr/frameworks/tensorFlow2/variations/gtr-xxl/versions/1 +swin_base_patch4_window7_224_fe,https://www.kaggle.com/models/spsayakpaul/swin/frameworks/tensorFlow2/variations/base-patch4-window7-224-fe/versions/1 +small_bert/bert_uncased_L-8_H-128_A-2,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-8-h-128-a-2/versions/2 +mmt/data_mscoco,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-mscoco/versions/1 +vit_r26_s32_lightaug_classification,https://www.kaggle.com/models/spsayakpaul/vision-transformer/frameworks/tensorFlow2/variations/vit-r26-s32-lightaug-classification/versions/1 +compare_gan/s3gan_10_256x256,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/s3gan-10-256x256/versions/1 +experts/bit/r50x1/in21k/tree,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-tree/versions/1 +small_bert/bert_uncased_L-6_H-768_A-12,https://www.kaggle.com/models/google/bert/frameworks/tensorFlow1/variations/bert-uncased-l-6-h-768-a-12/versions/2 +imagenet/mobilenet_v2_075_96/classification,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-96-classification/versions/2 +mixer_b16_i1k_classification,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b16-i1k-classification/versions/1 +edgetpu/nlp/mobilebert-edgetpu/s,https://www.kaggle.com/models/google/mobilebert-edgetpu/frameworks/tensorFlow2/variations/s/versions/1 +convnext_large_21k_1k_384,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-21k-1k-384/versions/1 +llr-pretrain-adv/latents,https://www.kaggle.com/models/deepmind/llr-pretrain-adv/frameworks/tensorFlow1/variations/latents/versions/1 +imagenet/mobilenet_v1_025_224/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/025-224-quantops-feature-vector/versions/2 +experts/bit/r50x1/in21k/consumer_goods,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-consumer-goods/versions/1 +swin_base_patch4_window7_224,https://www.kaggle.com/models/spsayakpaul/swin/frameworks/tensorFlow2/variations/base-patch4-window7-224/versions/1 +swin_small_patch244_window877_kinetics400_1k,https://www.kaggle.com/models/kaggle/video-swin-transformer/frameworks/tensorFlow2/variations/swin-small-patch244-window877-kinetics400-1k/versions/1 +experts/bit/r50x1/in21k/covering,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-covering/versions/1 +HRNet/msegpcontext-hrnetv2-w48,https://www.kaggle.com/models/google/hrnet/frameworks/tensorFlow2/variations/hrnet-msegpcontext-hrnetv2-w48/versions/1 +convnext_large_21k_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-21k-1k-224-fe/versions/1 +mmt/baseline-ft_baseline-no-bert-transfer,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/baseline-ft-baseline-no-bert-transfer/versions/1 +wiki40b-lm-el,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/el/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_b2/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b2-classification/versions/1 +wiki40b-lm-ro,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/ro/versions/1 +convnext_base_21k_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-21k-1k-224-fe/versions/1 +imagenet/mobilenet_v1_025_192/quantops/feature_vector,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/025-192-quantops-feature-vector/versions/2 +experts/bit/r50x1/in21k/foodstuff,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-foodstuff/versions/1 +imagenet/mobilenet_v1_075_128/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/075-128-quantops-classification/versions/2 +wiki40b-lm-ms,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/ms/versions/1 +convnext_large_1k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-1k-224/versions/1 +convnext_large_21k_1k_384_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-21k-1k-384-fe/versions/1 +mobilevit_s_1k_256_fe,https://www.kaggle.com/models/kaggle/mobilevit/frameworks/tensorFlow2/variations/s-1k-256-fe/versions/1 +experts/bit/r50x1/in21k/abstraction,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-abstraction/versions/1 +wiki40b-lm-th,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/th/versions/1 +imagenet/mobilenet_v1_100_160/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/100-160-quantops-classification/versions/2 +imagenet/efficientnet_v2_imagenet21k_b1/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b1-classification/versions/1 +mmt/data_sbu,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-sbu/versions/1 +mmt/data_combined-instance,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-combined-instance/versions/1 +semi-exemplar-10,https://www.kaggle.com/models/vtab/semi-exemplar-10/frameworks/tensorFlow1/variations/semi-exemplar-10/versions/1 +swin_tiny_patch4_window7_224,https://www.kaggle.com/models/spsayakpaul/swin/frameworks/tensorFlow2/variations/tiny-patch4-window7-224/versions/1 +vila/image,https://www.kaggle.com/models/google/vila/frameworks/tensorFlow2/variations/image/versions/1 +imagenet/mobilenet_v1_075_160/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/075-160-quantops-classification/versions/2 +convnext_large_21k_1k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-21k-1k-224/versions/1 +mmt/architecture_vilbert-4block,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-vilbert-4block/versions/1 +imagenet/mobilenet_v1_050_160/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/050-160-quantops-classification/versions/2 +mmt/architecture-ft_language-q-12,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-ft-language-q-12/versions/1 +convnext_small_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/small-1k-224-fe/versions/1 +bit_resnet152x2_224_classification,https://www.kaggle.com/models/spsayakpaul/bit-resnet/frameworks/tensorFlow2/variations/bit-resnet152x2-224-classification/versions/1 +experts/bit/r50x1/in21k/relation,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-relation/versions/1 +mmt/architecture_single-modality,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-single-modality/versions/1 +convnext_xlarge_21k_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/xlarge-21k-1k-224-fe/versions/1 +convnext_base_1k_384_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-1k-384-fe/versions/1 +compare_gan/model_4_lsun_bedroom_resnet19,https://www.kaggle.com/models/google/compare-gan/frameworks/tensorFlow1/variations/model-4-lsun-bedroom-resnet19/versions/1 +experts/bit/r50x1/in21k/whole,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-whole/versions/1 +movinet/a3/stream/kinetics-600/classification,https://www.kaggle.com/models/google/movinet/frameworks/tensorFlow2/variations/a3-stream-kinetics-600-classification/versions/2 +experts/bit/r50x1/in21k/part,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-part/versions/1 +cait_s24_224_fe,https://www.kaggle.com/models/spsayakpaul/cait/frameworks/tensorFlow2/variations/s24-224-fe/versions/1 +experts/bit/r50x1/in21k/vertebrate,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-vertebrate/versions/1 +convnext_base_1k_224,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-1k-224/versions/1 +deit_base_patch16_384,https://www.kaggle.com/models/spsayakpaul/deit/frameworks/tensorFlow2/variations/base-patch16-384/versions/1 +deit_small_distilled_patch16_224_fe,https://www.kaggle.com/models/spsayakpaul/deit/frameworks/tensorFlow2/variations/small-distilled-patch16-224-fe/versions/1 +llr-pretrain-adv/linear,https://www.kaggle.com/models/deepmind/llr-pretrain-adv/frameworks/tensorFlow1/variations/linear/versions/1 +edgetpu/vision/mobilenet-edgetpu-v2-feature-vector/m,https://www.kaggle.com/models/google/mobilenet-edgetpu-v2/frameworks/tensorFlow2/variations/feature-vector-m/versions/2 +mmt/architecture_vilbert-2block,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/architecture-vilbert-2block/versions/1 +mobilevit_xs_1k_256_fe,https://www.kaggle.com/models/kaggle/mobilevit/frameworks/tensorFlow2/variations/xs-1k-256-fe/versions/1 +convnext_base_21k_1k_384,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/base-21k-1k-384/versions/1 +imagenet/mobilenet_v2_100_128/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/100-128-feature-vector/versions/2 +jigsaw,https://www.kaggle.com/models/vtab/jigsaw/frameworks/tensorFlow1/variations/jigsaw/versions/1 +imagenet/efficientnet_v2_imagenet21k_s/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-s-classification/versions/2 +imagenet/mobilenet_v2_075_160/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/075-160-feature-vector/versions/2 +experts/bit/r50x1/in21k/matter,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-matter/versions/1 +imagenet/mobilenet_v2_035_224/feature_vector,https://www.kaggle.com/models/google/mobilenet-v2/frameworks/tensorFlow2/variations/035-224-feature-vector/versions/2 +klue_roberta_cased_L-24_H-1024_A-16,https://www.kaggle.com/models/jeongukjae/klue-roberta/frameworks/tensorFlow2/variations/cased-l-24-h-1024-a-16/versions/1 +imagenet/efficientnet_v2_imagenet21k_ft1k_b1/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-ft1k-b1-feature-vector/versions/1 +experts/bert/wiki_books/squad2,https://www.kaggle.com/models/google/experts-bert/frameworks/tensorFlow2/variations/wiki-books-squad2/versions/2 +convnext_tiny_1k_224_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/tiny-1k-224-fe/versions/1 +tf2-preview/nnlm-zh-dim50-with-normalization,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-zh-dim50-with-normalization/versions/1 +wiki40b-lm-de,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/de/versions/1 +mixer_b32_sam_fe,https://www.kaggle.com/models/spsayakpaul/mlp-mixer/frameworks/tensorFlow2/variations/mixer-b32-sam-fe/versions/1 +small_bert/bert_en_uncased_L-8_H-512_A-8,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-8-h-512-a-8/versions/2 +tiny_video_net/mobile_1,https://www.kaggle.com/models/google/tiny-video-net/frameworks/tensorFlow1/variations/mobile-1/versions/1 +vgg19-block5-conv2-unpooling-encoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block5-conv2-unpooling-encoder/versions/1 +mmt/data-ft_sbu,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-ft-sbu/versions/1 +swin_s3_base_224,https://www.kaggle.com/models/spsayakpaul/swin/frameworks/tensorFlow2/variations/s3-base-224/versions/1 +mmt/data_cc-with-bert,https://www.kaggle.com/models/deepmind/mmt/frameworks/tensorFlow1/variations/data-cc-with-bert/versions/1 +experts/bit/r50x1/in21k/instrument,https://www.kaggle.com/models/google/experts-bit/frameworks/tensorFlow2/variations/r50x1-in21k-instrument/versions/1 +imagenet/mobilenet_v3_small_100_224/classification,https://www.kaggle.com/models/google/mobilenet-v3/frameworks/tensorFlow2/variations/small-100-224-classification/versions/1 +imagenet/efficientnet_v2_imagenet1k_b1/feature_vector,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet1k-b1-feature-vector/versions/2 +imagenet/efficientnet_v2_imagenet21k_xl/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-xl-classification/versions/1 +bit/m-r152x4/imagenet21k_classification,https://www.kaggle.com/models/google/bit/frameworks/tensorFlow2/variations/m-r152x4-imagenet21k-classification/versions/1 +tf2-preview/nnlm-id-dim50,https://www.kaggle.com/models/google/nnlm/frameworks/tensorFlow2/variations/tf2-preview-id-dim50/versions/1 +small_bert/bert_en_uncased_L-10_H-768_A-12,https://www.kaggle.com/models/tensorflow/bert/frameworks/tensorFlow2/variations/bert-en-uncased-l-10-h-768-a-12/versions/2 +unet/industrial/class_2,https://tfhub.dev/nvidia/unet/industrial/class_2/1,skip,Model is not available +imagenet/mobilenet_v1_025_224/quantops/classification,https://www.kaggle.com/models/google/mobilenet-v1/frameworks/tensorFlow1/variations/025-224-quantops-classification/versions/2 +efficientnet/b0/classification,https://www.kaggle.com/models/tensorflow/efficientnet/frameworks/tensorFlow2/variations/b0-classification/versions/1 +convnext_large_1k_384_fe,https://www.kaggle.com/models/spsayakpaul/convnext/frameworks/tensorFlow2/variations/large-1k-384-fe/versions/1 +imagenet/efficientnet_v2_imagenet21k_b2/classification,https://www.kaggle.com/models/google/efficientnet-v2/frameworks/tensorFlow2/variations/imagenet21k-b2-classification/versions/1 +vgg19-block2-conv2-unpooling-decoder,https://www.kaggle.com/models/emilutz/vgg19-unpooling-encoder-decoder/frameworks/tensorFlow2/variations/vgg19-block2-conv2-unpooling-decoder/versions/1 +faster_rcnn/resnet50_v1_1024x1024,https://www.kaggle.com/models/tensorflow/faster-rcnn-resnet-v1/frameworks/tensorFlow2/variations/faster-rcnn-resnet50-v1-1024x1024/versions/1 +Wiki-words-500-with-normalization,https://www.kaggle.com/models/google/wiki-words/frameworks/tensorFlow2/variations/500-with-normalization/versions/1 +wiki40b-lm-zh-tw,https://www.kaggle.com/models/google/wiki40b-lm/frameworks/tensorFlow1/variations/zh-tw/versions/1 \ No newline at end of file diff --git a/tests/model_hub_tests/performance_tests/test_tf_hub_performance_model.py b/tests/model_hub_tests/performance_tests/test_tf_hub_performance_model.py index 08b4c785a2019b..82f9be6a189f85 100644 --- a/tests/model_hub_tests/performance_tests/test_tf_hub_performance_model.py +++ b/tests/model_hub_tests/performance_tests/test_tf_hub_performance_model.py @@ -48,3 +48,12 @@ def test_convert_model_precommit(self, model_name, model_link, mark, reason, ie_ if mark == 'skip': pytest.skip(reason) self.run(model_name, model_link, ie_device) + + @pytest.mark.parametrize("model_name,model_link,mark,reason", + get_models_list(os.path.join(os.path.dirname(__file__), "nightly_models"))) + @pytest.mark.nightly + def test_convert_model_all_models(self, model_name, model_link, mark, reason, ie_device): + assert mark is None or mark == 'skip', "Incorrect test case: {}, {}".format(model_name, model_link) + if mark == 'skip': + pytest.skip(reason) + self.run(model_name, model_link, ie_device) \ No newline at end of file