Loading GGUF support #2

…ned (huggingface#30299) * Update modeling_utils.py * Update test_modeling_utils.py * Update test_modeling_utils.py * Update test_modeling_utils.py

* Duplicate swiftformer * Convert SwiftFormerPatchEmbedding * Convert SwiftFormerEmbeddings * Convert TFSwiftFormerMlp * Convert TFSwiftFormerConvEncoder * Convert TFSwiftFormerLocalRepresentation * convert TFSwiftFormerEncoderBlock * Convert SwiftFormerStage * Convert SwiftFormerEncoder * Add TFSWiftFormerPreTrainedModel * Convert SwiftFormerForImageClassification * Add kwargs and start drop path * Fix syntax * Change Model class name * Add TFSwiftFormer to __init__ * Duplicate test_modeling_swiftformer * First test conversions * Change require_torch to require_tf * Add exports to swiftformer __init__ * Add TFSwiftFormerModel wrapper * Fix __init__ and run black * Remove docstring from MainLayer, fix padding * Use keras.layers.Activation on keras.Sequential * Fix swiftformer exports * Fix activation layer from config * Remove post_inits * Use tf.keras.layers.ZeroPadding2D * Convert torch normalize * Change tf test input shape * Fix softmax and reduce_sum * Convert expand_dims and repeat * Add missing reshape and tranpose * Simplify TFSwiftFormerEncoderBlock.call * Fix mismatch in patch embeddings * Fix expected output shape to match channels last * Fix swiftformer typo * Disable test_onnx * Fix TFSwiftFormerForImageClassification call * Add unpack inputs * Convert flatten(2).mean(-1) * Change vision dummy inputs (to be reviewed) * Change test_forward_signature to use .call * Fix @unpack_inputs * Set return_tensors="tf" and rename class * Rename wrongly named patch_embeddings layer * Add serving_output and change dummy_input shape * Make dimensions BCHW and transpose inside embedding layer * Change SwiftFormerEncoderBlock * Fix ruff problems * Add image size to swiftformer config * Change tranpose to MainLayer and use -1 for reshape * Remove serving_outputs and dummy_inputs * Remove test_initialization test from tf model * Make Sequential component a separate layer * Fix layers' names * Tranpose encoder outputs * Fix tests and check if hidden states is not None * Fix TFSwiftFormerForImageClassification * Run make fixup * Run make fix-copies * Update modeling_tf_auto * Update docs * Fix modeling auto mapping * Update modelint_tf_swiftformer docs * Fill image_size doc and type * Add reduction=None to loss computation * Update docs * make style * Debug: Delete the tip to see if that changes anything * Re-add tip * Remove add_code_sample_docstrings * Remove unused import * Get the debug to actually tell us the problem it has with the docs * Try a substitution to match the PyTorch file? * Add swiftformer to ignore list * Add build() methods * Update copyright year Co-authored-by: amyeroberts <[email protected]> * Remove FIXME comment * Remove from_pt * Update copyright year Co-authored-by: amyeroberts <[email protected]> * Rename one-letter variables * Remove FIXMEs related to momentum * Remove old TODO comment * Remove outstanding FIXME comments * Get dropout rate from config * Add specific dropout config for MLP * Add convencoder dropout to config * Pass config to SwiftFormerDropPath layer * Fix drop_path variable name and add Adapted from comment * Run ruff * Removed copied from comment * Run fix copies * Change drop_path to identity to match pt * Cleanup build() methods and move to new keras imports * Update docs/source/en/model_doc/swiftformer.md Co-authored-by: Matt <[email protected]> * Raise error if drop_path_rate > 0.0 * Apply suggestions from code review Replace (self.dim), with self.dim, Co-authored-by: Matt <[email protected]> * Remove drop_path function * Add training to TFSwiftFormerEncoder * Set self.built = True last Co-authored-by: amyeroberts <[email protected]> * Should have been added to previous commit Co-authored-by: amyeroberts <[email protected]> * Apply suggestions from code review Co-authored-by: amyeroberts <[email protected]> * Change default_feature_extractor to default_image_processor Co-authored-by: amyeroberts <[email protected]> * Import Keras from modeling_tf_utils * Remove relative import * Run ruff --fix * Move import keras to tf_available * Add copied from comment to test_forward_signature * Reduce batch size and num_labels * Extract loss logic to hf_compute_loss * Run ruff format --------- Co-authored-by: Matt <[email protected]> Co-authored-by: amyeroberts <[email protected]> Co-authored-by: Matt <[email protected]>

* Add resources * Address comments * Apply suggestions from code review Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

* Update llava_next.md * Update seggpt.md

* feat: support for vitmatte * feat: support for vivit * feat: support for beit * feat: support for blip :D * feat: support for data2vec

* warn if pad token is negative * Update src/transformers/generation/configuration_utils.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/generation/configuration_utils.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/configuration_utils.py Co-authored-by: Joao Gante <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]> Co-authored-by: Joao Gante <[email protected]>

…gingface#30002) * Add FSDP config for CPU RAM efficient loading * Style fix * Update src/transformers/training_args.py Co-authored-by: Zach Mueller <[email protected]> * Update src/transformers/training_args.py Co-authored-by: amyeroberts <[email protected]> * Add sync_module_states and cpu_ram_efficient_loading validation logic * Update src/transformers/training_args.py Co-authored-by: amyeroberts <[email protected]> * Style --------- Co-authored-by: Zach Mueller <[email protected]> Co-authored-by: amyeroberts <[email protected]>

* nit to make sure cache positions are not sliced * fix other models * nit * style

* Update docstrings for text generation pipeline * Fix docstring arg * Update docstring to explain chat mode * Fix doctests * Fix doctests

@zucchini-nlp

* stash commit (will discard all of this) * stash commit * First commit - needs a lot of testing! * Add a test * Fix imports and make the tests actually test something * Tests pass! * Rearrange test * Add comments (but it's still a bit confusing) * Stop storing the tokenizer * Comment fixup * Fix for input_ids with a single sequence * Update tests to test single sequences * make fixup * Fix incorrect use of isin() * Expand tests to catch more cases * Expand tests to catch more cases * make fixup * Fix length calculation and update tests * Handle Ġ as a space replacement too * Update src/transformers/generation/stopping_criteria.py Co-authored-by: Joao Gante <[email protected]> * Add optimizations from Joao's suggestion * Remove TODO * Update src/transformers/generation/stopping_criteria.py Co-authored-by: Joao Gante <[email protected]> * Update tests/generation/test_stopping_criteria.py Co-authored-by: Joao Gante <[email protected]> * make fixup * Rename some variables and remove some debugging clauses for clarity * Add tests for the sub-methods * Clarify one test slightly * Add stop_strings to GenerationConfig * generate() supports stop_string arg, asks for tokenizer if not provided * make fixup * Cleanup code and rename variables for clarity * Update tokenizer error * Update tokenizer passing, handle generation on GPU * Slightly more explanation cleanup * More comment cleanup * Factor out the token cleanup so it's more obvious what we're doing, and we can change it later * Careful with that cleanup! * Cleanup + optimizations to _get_matching_positions * More minor performance tweaks * Implement caching and eliminate some expensive ops (startup time: 200ms -> 9ms) * Remove the pin_memory call * Parallelize across all stop strings! * Quick fix for tensor devices * Update embeddings test for the new format * Fix test imports * Manual patching for BERT-like tokenizers * Return a bool vector instead of a single True/False * Better comment * Better comment * Add tests from @zucchini-nlp * Amy's list creation nit * tok_list -> token_list * Push a big expanded docstring (should we put it somewhere else?) * Expand docstrings * Docstring fixups * Rebase * make fixup * Make a properly general method for figuring out token strings * Fix naming throughout the functions * Move cache, refactor, fix tests * Add comment * Remove finished TODO * Remove finished TODO * make fixup * Update src/transformers/generation/stopping_criteria.py Co-authored-by: amyeroberts <[email protected]> * Update and shorten docstring * Update tests to be shorter/clearer and test specific cases --------- Co-authored-by: Joao Gante <[email protected]> Co-authored-by: amyeroberts <[email protected]>

…huggingface#30372) Update optimization.py

fix test

* Add class_embed to tied weights for DETA * Fix test_tied_weights_keys for DETA model * Replace error raise with assert statement

pass device correctly to peft

* add sdpa to wav2vec. Co-authored-by: kamilakesbi <[email protected]> Co-authored-by: jp1924 <[email protected]> * add fa2 to wav2vec2 * add tests * fix attention_mask compatibility with fa2 * minor dtype fix * replace fa2 slow test * fix fa2 slow test * apply code review + add fa2 batch test * add sdpa and fa2 to hubert * sdpa and fa2 to data2vec_audio * sdpa and fa2 to Sew * sdpa to unispeech + unispeech sat * small fix * attention mask in tests Co-authored-by: Sanchit Gandhi <[email protected]> * add_speedup_benchmark_to_doc --------- Co-authored-by: [email protected] <[email protected]> Co-authored-by: Sanchit Gandhi <[email protected]>

* [FEAT]: EETQ quantizer support * Update quantization.md * Update docs/source/en/main_classes/quantization.md Co-authored-by: Marc Sun <[email protected]> * Update docs/source/en/quantization.md Co-authored-by: Marc Sun <[email protected]> * Update docs/source/en/quantization.md Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/integrations/__init__.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/integrations/__init__.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/integrations/eetq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/integrations/eetq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/integrations/eetq.py Co-authored-by: Marc Sun <[email protected]> * Update tests/quantization/eetq_integration/test_eetq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/auto.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/auto.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/auto.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/quantizer_eetq.py Co-authored-by: Marc Sun <[email protected]> * Update tests/quantization/eetq_integration/test_eetq.py Co-authored-by: Marc Sun <[email protected]> * Update src/transformers/quantizers/quantizer_eetq.py Co-authored-by: Marc Sun <[email protected]> * Update tests/quantization/eetq_integration/test_eetq.py Co-authored-by: Marc Sun <[email protected]> * Update tests/quantization/eetq_integration/test_eetq.py Co-authored-by: Marc Sun <[email protected]> * [FEAT]: EETQ quantizer support * [FEAT]: EETQ quantizer support * remove whitespaces * update quantization.md * style * Update docs/source/en/quantization.md Co-authored-by: Younes Belkada <[email protected]> * add copyright * Update quantization.md * Update docs/source/en/quantization.md Co-authored-by: amyeroberts <[email protected]> * Update docs/source/en/quantization.md Co-authored-by: amyeroberts <[email protected]> * Address the comments by amyeroberts * style --------- Co-authored-by: Marc Sun <[email protected]> Co-authored-by: Marc Sun <[email protected]> Co-authored-by: Younes Belkada <[email protected]> Co-authored-by: amyeroberts <[email protected]>

* first draft * feedback * static cache snippet * feedback * feedback

* Add inputs embeds in generation * always scale embeds * fix-copies * fix failing test * fix copies once more * remove embeds for models with scaling * second try to revert * codestyle

…iHeadAttention (huggingface#30364) * Added cross attention support * Fixed dtypes * Fixed assumption * Moved to decoder

…e#30406) fix: link to HF repo tree when a file is missing

…ggingface#30408) * add cuda flag * check for sdpa * add bitsandbytes

scipy pin for jax

* clean commit history I hope * get kv seq length correctly * PR suggestions * Update src/transformers/testing_utils.py Co-authored-by: Joao Gante <[email protected]> * add comment * give gpt bigcode it's own overriden method * remove code --------- Co-authored-by: Joao Gante <[email protected]>

…gface#30133) * fix for itemsize => element_size() for torch backwards compat * improve handling of element counting * Update src/transformers/modeling_utils.py * fixup * Update src/transformers/modeling_utils.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: Younes Belkada <[email protected]> Co-authored-by: Younes Belkada <[email protected]> Co-authored-by: amyeroberts <[email protected]>

Update Dockerfile

* fix * try suggestion * update --------- Co-authored-by: ydshieh <[email protected]>

* Remove old TF port guide * repo-consistency * Remove some translations as well for consistency * Remove some translations as well for consistency

torch.run does not exist anywhere as far as I can tell.

* Fix use_cache for xla fsdp * Fix linters

* push legacy to fast as well * super strange * Update src/transformers/convert_slow_tokenizer.py * make sure we are BC * fix Llama test * nit * revert * more test * style * update * small update w.r.t tokenizers * nit * don't split * lol * add a test for `add_prefix_space=False` * fix gemma tokenizer as well * update * fix gemma * nicer failures * fixup * update * fix the example for legacy = False * use `huggyllama/llama-7b` for the PR doctest * nit * use from_slow * fix llama

…uggingface#30429)

* Remove add-new-model in favor of add-new-model-like * nits

…n page in which they are featured. (huggingface#30420) * REAMDEs * REAMDEs v2

* You should not pass Co-authored-by: Arthur <[email protected]> --------- Co-authored-by: ydshieh <[email protected]> Co-authored-by: Arthur <[email protected]>

* nuke * add co-author * add co-author * update card * fixup and fix copies to please our ci * nit fixup * super small nits * remove tokenizer_path from call to `write_model` * always safe serialize by default --------- Co-authored-by: pcuenca <[email protected]> Co-authored-by: xenova <[email protected]>

* Add test for square image that fails * Fix for square images * Extend test cases * Fix resizing in tests * Style fixup

…30440) * nit * nit and fmt skip * fixup * Update src/transformers/convert_slow_tokenizer.py Co-authored-by: amyeroberts <[email protected]> * set to true --------- Co-authored-by: amyeroberts <[email protected]>

* make device-agnostic * clean code

…fication models (huggingface#30435) * fix clip's/siglip's _init_weights to reflect linear layers in "for image classification" * trigger slow tests

* fix jamba slow foward for multi-gpu * remove comm * oups * style

* Fixed main train issues * Added loss test * Update src/transformers/models/seggpt/modeling_seggpt.py Co-authored-by: amyeroberts <[email protected]> * Added missing labels arg in SegGptModel forward * Fixed typo * Added slow test to test loss calculation --------- Co-authored-by: amyeroberts <[email protected]>

…e#30453) * trigger * remove the last job --------- Co-authored-by: ydshieh <[email protected]>

* chore(root): Initial commit of Phi-3 files. * fix(root): Fixes Phi-3 missing on readme. * fix(root): Ensures files are consistent. * fix(phi3): Fixes unit tests. * fix(tests): Fixes style of phi-3 test file. * chore(tests): Adds integration tests for Phi-3. * fix(phi3): Removes additional flash-attention usage, .e.g, swiglu and rmsnorm. * fix(phi3): Fixes incorrect docstrings. * fix(phi3): Fixes docstring typos. * fix(phi3): Adds support for Su and Yarn embeddings. * fix(phi3): Improves according first batch of reviews. * fix(phi3): Uses up_states instead of y in Phi3MLP. * fix(phi3): Uses gemma rotary embedding to support torch.compile. * fix(phi3): Improves how rotary embedding classes are defined. * fix(phi3): Fixes inv_freq not being re-computed for extended RoPE. * fix(phi3): Adds last suggestions to modeling file. * fix(phi3): Splits inv_freq calculation in two lines.

…30456) fix Co-authored-by: ydshieh <[email protected]>

…rement.txt (huggingface#29977) update most of decision transformers research project

…gingface#29703) save_safetensor=True is default as of release 4.35.0, which then required TPU hotfix huggingface#27799 (issue huggingface#27578). However, when the flag save_safetensor is set to False (compatibility mode), moving the model to CPU causes generation of too many graphs during checkpoint huggingface#28438. This PR disable moving of model to CPU when save_safetensor=False.

* Check removing flag for torch * LLM oops * Getting there... * More discoveries * Change * Clean up and prettify * Logic check * Not

* Non blocking support * Check for optimization * Doc

…gface#30392) * better names * run better names * update * update --------- Co-authored-by: ydshieh <[email protected]>

* add SSH into our runners workflow * fix * fix * fix * use our previous approaches * forward contrib credits from discussions --------- Co-authored-by: Yih-Dar <[email protected]>

Update push-important-models.yml

Update ssh-runner.yml

* fix codellama conversion * nit

* Add utility for finding candidate models for deprecation * Better model filtering * Update * Add warning tip * Fix up * Review comments * Filter requests based on tags * Add copyright header

* Fix SigLip classification doctest * Remove extra line * Update src/transformers/models/siglip/modeling_siglip.py

) * Use EAFP principle to prevent crash with third parties * Remove leftover debugging code * Add info-level logger message

) * first modeling code * make repository * still WIP * update model * add tests * add latest change * clean docstrings and copied from * update docstrings md and readme * correct chroma function * correct copied from and remove unreleated test * add doc to toctree * correct imports * add convert script to notdoctested * Add suggestion from Sanchit Co-authored-by: Sanchit Gandhi <[email protected]> * correct get_uncoditional_inputs docstrings * modify README according to SANCHIT feedback * add chroma to audio utils * clean librosa and torchaudio hard dependencies * fix FE * refactor audio decoder -> audio encoder for consistency with previous musicgen * refactor conditional -> encoder * modify sampling rate logics * modify license at the beginning * refactor all_self_attns->all_attentions * remove ignore copy from causallm generate * add copied from for from_sub_models * fix make copies * add warning if audio is truncated * add copied from where relevant * remove artefact * fix convert script * fix torchaudio and FE * modify chroma method according to feedback-> better naming * refactor input_values->input_features * refactor input_values->input_features and fix import fe * add input_features to docstrigs * correct inputs_embeds logics * remove dtype conversion * refactor _prepare_conditional_hidden_states_kwargs_for_generation ->_prepare_encoder_hidden_states_kwargs_for_generation * change warning for chroma length * Update src/transformers/models/musicgen_melody/convert_musicgen_melody_transformers.py Co-authored-by: Sanchit Gandhi <[email protected]> * change way to save wav, using soundfile * correct docs and change to soundfile * fix import * fix init proj layers * add draft training * fix cross entropy * clean loss computation * fix labels * remove line breaks from md * fix issue with docstrings * add FE suggestions * improve is in logics and remove useless imports * remove custom from_pretrained * simplify docstring code * add suggestions for modeling tests * make style * update converting script with sanity check * remove encoder attention mask from conditional generation * replace musicgen melody checkpoints with official orga * rename ylacombe->facebook in checkpoints * fix copies * remove unecessary warning * add shape in code docstrings * add files to slow doc tests * fix md bug and add md to not_tested * make fix-copies * fix hidden states test and batching * update training code * add training tests for melody * add training for o.g musicgen * fix copied from * remove final todos * make style * fix style * add suggestions from review * add ref to the original loss computation code * rename method + fix labels in tests * make style --------- Co-authored-by: Sanchit Gandhi <[email protected]>

* Added WSD scheduler. * Added tests. * Fixed errors. * Fix formatting. * CI fixes.

…declared Variables (huggingface#30457) * Fix issue huggingface#29817 Video Classification Task Guide Using Undeclared Variables * Update docs/source/en/tasks/video_classification.md updated with review comments Co-authored-by: amyeroberts <[email protected]> * Fix issue huggingface#29817 Add line space following PR comments --------- Co-authored-by: manju-rangam <Manju1@Git> Co-authored-by: amyeroberts <[email protected]>

* Pin accelerate w/o eager * Eager * Update .circleci/create_circleci_config.py Co-authored-by: amyeroberts <[email protected]> * Expound * Expound squared * PyTorch -> dependency --------- Co-authored-by: amyeroberts <[email protected]>

* Introduce saveable callbacks * Add note * Test for non-present and flag * Support early stopping and refusing to train further * Update docstring * More saving * Import oopsie * Apply suggestions from code review Co-authored-by: amyeroberts <[email protected]> * Make it go through TrainerArguments * Document * Fix test * Apply suggestions from code review Co-authored-by: amyeroberts <[email protected]> * Rework to allow for duplicates * CLean * Fix failing tests --------- Co-authored-by: amyeroberts <[email protected]>

…ule loading (huggingface#30370)

* Draft tutorial for talking to chat models * Reformat lists and text snippets * Cleanups and clarifications * Finish up remaining TODOs * Correct section link * Small fix * Add proper quantization examples * Add proper quantization examples * Add proper quantization examples * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/_toctree.yml Co-authored-by: Steven Liu <[email protected]> * Update docs/source/en/conversations.md Co-authored-by: Steven Liu <[email protected]> * Fix Text Generation Pipeline link and add a ref to the LLM inference guide * intelligent -> capable * Small intro cleanup * Small text cleanup * Small text cleanup * Clarification about system message * Clarification about system message --------- Co-authored-by: Steven Liu <[email protected]>

ensure popular quant methods are supported

* add pipeline_webserver to es/ * add pipeline_webserver to es/, translate first section * add comment for checking link * translate pipeline_webserver * edit pipeline_webserver * fix typo

Update quantizer_eetq.py

… on ...") (huggingface#30494) Fix the `bitsandbytes` error when some modules are not properly offloaded.

…pes (huggingface#30488) * Update modeling_utils/dtype_byte_size to handle float8 types * Add a test for dtype_byte_size * Format * Fix bool

Use the Keras set_random_seed to ensure reproducible weight initialization

* Adding SDPA support for BERT * Using the proper input name for testing model input in inference() * Adding documentation for SDPA in BERT model page * Use the stable link for the documentation * Adding a gate to only call .contiguous() for torch < 2.2.0 * Additions and fixes to the documentation * Minor updates to documentation * Adding extra requirements needed for the contiguous() bug * Adding "Adapted from" in plcae of the "Copied from" * Add benchmark speedup tables to the documentation * Minor fixes to the documentation * Use ClapText as a replacemenet for Bert in the Copied-From * Some more fixes for the fix-copies references * Overriding the test_eager_matches_sdpa_generate in bert tests to not load with low_cpu_mem_usage [test all] * Undo changes to separate test * Refactored SDPA self attention code for KV projections * Change use_sdpa to attn_implementation * Fix test_sdpa_can_dispatch_on_flash by preparing input (required for MultipleChoice models)

* Remove skipping logic now that set_epoch exists * Working version, clean

…9038) * Enable instantiating model with pretrained backbone weights * Clarify pretrained import * Use load_backbone instead * Add backbone_kwargs to config * Fix up * Add tests * Tidy up * Enable instantiating model with pretrained backbone weights * Update tests so backbone checkpoint isn't passed in * Clarify pretrained import * Update configs - docs and validation check * Update src/transformers/utils/backbone_utils.py Co-authored-by: Arthur <[email protected]> * Clarify exception message * Update config init in tests * Add test for when use_timm_backbone=True * Use load_backbone instead * Add use_timm_backbone to the model configs * Add backbone_kwargs to config * Pass kwargs to constructors * Draft * Fix tests * Add back timm - weight naming * More tidying up * Whoops * Tidy up * Handle when kwargs are none * Update tests * Revert test changes * Deformable detr test - don't use default * Don't mutate; correct model attributes * Add some clarifying comments * nit - grammar is hard --------- Co-authored-by: Arthur <[email protected]>

* [examples] update whisper fine-tuning * deprecate forced/suppress tokens * item assignment * update readme * final fix

Fix GroundingDINO, DPR after BET SDPA update

) * Decode b64encode and encodebytes strings * Remove conditional encode -- image is always a string

* Fixed SegGptImageProcessor to handle 2D and 3D prompt mask inputs * Added new test to check prompt mask equivalence * New proposal * Better proposal * Removed unnecessary method * Updated seggpt docs * Introduced do_convert_rgb * nits

* Allow boolean FSDP options in fsdp_config * Use lower() to be safe

…30507) * Pass attn_implementation when using AutoXXX.from_config * Fix

Co-authored-by: Clint Adams <[email protected]>

fix Co-authored-by: ydshieh <[email protected]>

…0442) * Reenable SDPA's FA2 during training with torch.compile * fix Olmo's SDPA FA2 dispatching too * update formatting * improved SDPA comment * formatting and explanatory comment * is_causal if statement to one-liner

* Include safetensors * Cleanup

pass use_cache in kwargs

* feat: support for dinov2 * feat: support for depth_anything * feat: support for efficientformer * feat: support for bert (is this right?) * update: embedding split * remove: empty string * feat: support for align * fix: copies * fix: QAQBertEmbeddings * fix: more consistency issues * revert: support for effientformer * feat: support for altclip * feat: support for blip_text * support for ChineseCLIP * feat: support for depth anything * feat: support for dpt * feat: support for dpt * feat: support for git * feat: support for groupvit * update: format * fix: support for clip * fix: consistency * feat: support for pvt * feat: support for vit_msn * fix: consistency * fix: other copies * remove: device transfer * revert: in-place add * update: support for align * update: support for bert * update: support for Chinese CLIP * revert: changes to efficientformer * update: support for dpt * update: support for efficientformer * revert: changes to git * revert: changes to groupvit * revert: changes to roc_bert * update: support for vit_msn * revert: changes to dpt * remove: extra space * style: extra space

Co-authored-by: amyeroberts <[email protected]>

…rmers into HEAD

Co-authored-by: amyeroberts <[email protected]>

* fix seq2seq data collator to respect the given padding strategy further added tests for the seq2seq data collator in the style of the `data_collator_for_token_classification` (pt, tf, np) * formatting and change bool equals "==" to "is" * add missed return types in tests * update numpy test as it can handle unequal shapes, not like pt or tf

* add_blip_get_multimodal_feautres * Fix docstring error * reimplement get_multimodal_features * fix error * recheck code quality * add new necessary tests

huggingface#30558) * added chat templating support for keydataset in generation pipeline * fixed and improved test * fix formatting test failures * Fix tests * Fix tests

* fix doctest * fix torch doctest * make CI happy * raise error * make fixup

* More general PR slow CI * Update utils/pr_slow_ci_models.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: ydshieh <[email protected]> Co-authored-by: amyeroberts <[email protected]>

* fix * add test --------- Co-authored-by: ydshieh <[email protected]>

use text config's vocab size

…e#30410) * move scaling to nn.Module * let the test be here for now (need to fix) * failing tests * last failing models * Revert commit 4c14817 * clean-up * oops forgot * codestyle * raise NotImplemented when possible * Update tests/test_modeling_common.py Co-authored-by: amyeroberts <[email protected]> * skip tests in respective modeling files --------- Co-authored-by: amyeroberts <[email protected]>

* fix marian model coversion * uncomment that line * remove unnecessary code * revert tie_weights, doesn't hurt

* Temporarily silence warnings in apply_chat_template until we can properly deprecate default chat templates * make fixup * Move the default chat template warning into apply_chat_template itself * make fixup

* Handle cases when CLS token is absent * Use BOS token as a fallback

remove example

Fix --model_type in examples

* Gemma: only display act. warning when necessary This is a nit PR, but I was confused. I got the warning even after I had changed `hidden_act` to `gelu_pytorch_tanh`, telling me that I was using the "legacy" `gelu_pytorch_tanh`. Another option is to keep the warning but change the message to say something like "`hidden_act` is ignored, please use `hidden_activation` instead. Setting Gemma's activation function to `gelu_pytorch_tanh`". * Change message, and set `config.hidden_activation`

…ecision_transformer (huggingface#30587) Bump gitpython in /examples/research_projects/decision_transformer Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41. - [Release notes](https://github.com/gitpython-developers/GitPython/releases) - [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES) - [Commits](gitpython-developers/GitPython@3.1.32...3.1.41) --- updated-dependencies: - dependency-name: gitpython dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…sion_transformer (huggingface#30585) Bump grpcio in /examples/research_projects/decision_transformer Bumps [grpcio](https://github.com/grpc/grpc) from 1.44.0 to 1.53.2. - [Release notes](https://github.com/grpc/grpc/releases) - [Changelog](https://github.com/grpc/grpc/blob/master/doc/grpc_release_schedule.md) - [Commits](grpc/grpc@v1.44.0...v1.53.2) --- updated-dependencies: - dependency-name: grpcio dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…istillation (huggingface#30586) Bump gitpython in /examples/research_projects/distillation Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.32 to 3.1.41. - [Release notes](https://github.com/gitpython-developers/GitPython/releases) - [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES) - [Commits](gitpython-developers/GitPython@3.1.32...3.1.41) --- updated-dependencies: - dependency-name: gitpython dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…sion_transformer (huggingface#30582) Bump pyarrow in /examples/research_projects/decision_transformer Bumps [pyarrow](https://github.com/apache/arrow) from 7.0.0 to 15.0.0. - [Commits](apache/arrow@go/v7.0.0...go/v15.0.0) --- updated-dependencies: - dependency-name: pyarrow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…al_bert (huggingface#30583) Bump pyarrow in /examples/research_projects/visual_bert Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0. - [Commits](apache/arrow@apache-arrow-1.0.1...go/v15.0.0) --- updated-dependencies: - dependency-name: pyarrow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…rt (huggingface#30584) Bumps [pyarrow](https://github.com/apache/arrow) from 1.0.1 to 15.0.0. - [Commits](apache/arrow@apache-arrow-1.0.1...go/v15.0.0) --- updated-dependencies: - dependency-name: pyarrow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…huggingface#21174) Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.6.0...v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…arrot (huggingface#21170) Bump torch in /examples/research_projects/codeparrot Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.11.0...v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…_bert (huggingface#21172) Bump torch in /examples/research_projects/visual_bert Bumps [torch](https://github.com/pytorch/pytorch) from 1.6.0 to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.6.0...v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Fix image segmentation example - don't repoen image

* Add improvements * Address comment

…logic 🧼 (huggingface#29956)

* Ensure input_embeds and image_features are the same dtype in autocast * Fix nans in half precision llava-next and fix autocasting behavior. * Fix styling issues. * fix randn newline instantiation * fix broken slow llava test * Fix llava next init. * fix styling issues * [run-slow]llava,llava_next * fix styling issues

…ion_transformer (huggingface#21171) Bump torch in /examples/research_projects/decision_transformer Bumps [torch](https://github.com/pytorch/pytorch) from 1.11.0 to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](pytorch/pytorch@v1.11.0...v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…x-projects/hybrid_clip (huggingface#21167) Bump torch in /examples/research_projects/jax-projects/hybrid_clip Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…sion_transformer (huggingface#28655) Bump pillow in /examples/research_projects/decision_transformer Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.0.1 to 10.2.0. - [Release notes](https://github.com/python-pillow/Pillow/releases) - [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst) - [Commits](python-pillow/Pillow@10.0.1...10.2.0) --- updated-dependencies: - dependency-name: pillow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…face#21168) Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1. - [Release notes](https://github.com/pytorch/pytorch/releases) - [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md) - [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1) --- updated-dependencies: - dependency-name: torch dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: amyeroberts <[email protected]>

* failiing CI * no let's keep it intil full deprecation in v4.42

…gface#30358) * Fix memory leak with CTC training script on Chinese languages * Fix lint

* Update image_processing_vitmatte.py * add test * [run-slow]vitmatte

…#30573) * fix:missing `output_router_logits` in SwitchTransformers * fix whitespace in blank line

…30613) * fix * fix --------- Co-authored-by: ydshieh <[email protected]>

* phi3 chat_template does not support system role * fix doc test error

* does this work? * like this? * fix the other generate links * missing these

* add missing docstrings to docs * Update src/transformers/generation/stopping_criteria.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

* Output `None` as attention when layer is skipped * Add test for output_attentions

* update HQQ transformers integration * push import_utils.py * add force_hooks check in modeling_utils.py * fix | with Optional * force bias as param * check bias is Tensor * force forward for multi-gpu * review fixes pass * remove torch grad() * if any key in linear_tags fix * add cpu/disk check * isinstance return * add multigpu test + refactor tests * clean hqq_utils imports in hqq.py * clean hqq_utils imports in quantizer_hqq.py * delete hqq_utils.py * Delete src/transformers/utils/hqq_utils.py * ruff init * remove torch.float16 from __init__ in test * refactor test * isinstance -> type in quantizer_hqq.py * cpu/disk device_map check in quantizer_hqq.py * remove type(module) nn.linear check in quantizer_hqq.py * add BaseQuantizeConfig import inside HqqConfig init * remove hqq import in hqq.py * remove accelerate import from test_hqq.py * quant config.py doc update * add hqqconfig to main_classes doc * make style * __init__ fix * ruff __init__ * skip_modules list * hqqconfig format fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * hqqconfig doc fix * test_hqq.py remove mistral comment * remove self.using_multi_gpu is False * torch_dtype default val set and logger.info * hqq.py isinstance fix * remove torch=None * torch_device test_hqq * rename test_hqq * MODEL_ID in test_hqq * quantizer_hqq setattr fix * quantizer_hqq typo fix * imports quantizer_hqq.py * isinstance quantizer_hqq * hqq_layer.bias reformat quantizer_hqq * Step 2 as comment in quantizer_hqq * prepare_for_hqq_linear() comment * keep_in_fp32_modules fix * HqqHfQuantizer reformat * quantization.md hqqconfig * quantization.md model example reformat * quantization.md # space * quantization.md space }) * quantization.md space }) * quantization_config fix doc Co-authored-by: amyeroberts <[email protected]> * axis value check in quantization_config * format * dynamic config explanation * quant config method in quantization.md * remove shard-level progress * .cuda fix modeling_utils * test_hqq fixes * make fix-copies --------- Co-authored-by: amyeroberts <[email protected]>

* Fix CI after huggingface#30410 * [run-slow] blenderbot

* add bias * fix quality

* Remove comparison to output_dir * Update docs for `run_name` * Add warning

Update quantizer_hqq.py

… previously provided parameters (huggingface#30362) * Fixed TextGenerationPipeline._sanitize_parameters default params * removed empty spaces --------- Co-authored-by: Ng, Yen Ting <[email protected]>

update Co-authored-by: ydshieh <[email protected]>

@v4

* change cis * nits * update * minor updates * [push-ci-image] * nit [push-ci-image] * nitsssss * [build-ci-image] * [push-ci-image] * [push-ci-image] * both * [push-ci-image] * this? * [push-ci-image] * pypi-kenlm needs g++ * [push-ci-image] * nit * more nits [push-ci-image] * nits [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * add vision * [push-ci-image] * [push-ci-image] * add new dummy file but will need to update them [push-ci-image] * [push-ci-image] * show package size as well * [push-ci-image] * potentially ignore failures * workflow updates * nits [push-ci-image] * [push-ci-image] * fix consistency * clean nciida triton * also show big packages [push-ci-image] * nit * update * another one * line escape? * add accelerate [push-ci-image] * updates [push-ci-image] * nits to run tests, no push-ci * try to parse skip reason to make sure nothing is skipped that should no be skippped * nit? * always show skipped reasons * nits * better parsing of the test outputs * action="store_true", * failure on failed * show matched * debug * update short summary with skipped, failed and errors * nits * nits * coolu pdates * remove docbuilder * fix * always run checks * oups * nits * don't error out on library printing * non zero exi codes * no warning * nit * WAT? * format nit * [push-ci-image] * fail if fail is needed * [push-ci-image] * sound file for torch light? * [push-ci-image] * order is important [push-ci-image] * [push-ci-image] reduce even further * [push-ci-image] * use pytest rich ! * yes [push-ci-image] * oupsy * bring back the full traceback, but pytest rich should help * nit * [push-ci-image] * re run * nit * [push-ci-image] * [push-ci-image] * [push-ci-image] * empty push to trigger * [push-ci-image] * nit? [push-ci-image] * empty * try to install timm with no deps * [push-ci-image] * oups [push-ci-image] * [push-ci-image] * [push-ci-image] ? * [push-ci-image] open ssh client for git checkout fast * empty for torch light * updates [push-ci-image] * nit * @v4 for checkout * [push-ci-image] * [push-ci-image] * fix fetch tests with parallelism * [push-ci-image] * more parallelism * nit * more nits * empty to re-trigger * empty to re-trigger * split by timing * did not work with previous commit * junit.xml * no path? * mmm this? * junitxml format * split by timing * nit * fix junit family * now we can test if the xunit1 is compatible! * this? * fully list tests * update * update * oups * finally * use classname * remove working directory to make sure the path does not interfere * okay no juni should have the correct path * name split? * sort by classname is what make most sense * some testing * naem * oups * test something fun * autodetect * 18? * nit * file size? * uip * 4 is best * update to see versions * better print * [push-ci-image] * [push-ci-image] * please install the correct keras version * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * uv is fucking me up * [push-ci-image] * [push-ci-image] * [push-ci-image] * nits * [push-ci-image] * [push-ci-image] * install issues an pins * tapas as well * nits * more paralellism * short tb * soundfile * soundfile * [push-ci-image] * [push-ci-image] * [push-ci-image] * oups * [push-ci-image] * fix some things * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * use torch-light for hub * small git lfs for hub job * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * fix tf tapas * [push-ci-image] * nits * [push-ci-image] * don't update the test * [push-ci-image] * [push-ci-image] * [push-ci-image] * no use them * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * update tf proba * [push-ci-image] * [push-ci-image] * woops * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * test with built dockers * [push-ci-image] * skip annoying tests * revert fix copy * update test values * update * last skip and fixup * nit * ALL GOOOD * quality * Update tests/models/layoutlmv2/test_image_processing_layoutlmv2.py * Update docker/quality.dockerfile Co-authored-by: Lysandre Debut <[email protected]> * Update src/transformers/models/tapas/modeling_tf_tapas.py Co-authored-by: Lysandre Debut <[email protected]> * Apply suggestions from code review Co-authored-by: Lysandre Debut <[email protected]> * use torch-speed * updates * [push-ci-image] * [push-ci-image] * [push-ci-image] * [push-ci-image] * fuck ken-lm [push-ci-image] * [push-ci-image] * [push-ci-image] --------- Co-authored-by: Lysandre Debut <[email protected]>

…gface#30664)

* dmmy change * fiux * revert change

Update test_hqq.py

* fix llava next embedding * add docstring * Update src/transformers/models/llava_next/configuration_llava_next.py Co-authored-by: NielsRogge <[email protected]> --------- Co-authored-by: NielsRogge <[email protected]>

huggingface#30505) * Trainer: load checkpoint model with multiple adapters * Trainer._load_from_checkpoint support multiple active adapters * PeftModel.set_adapter does not support multiple adapters yet * Trainer._load_from_checkpoint test multiple adapters --------- Co-authored-by: Clara Luise Pohland <[email protected]>

…computation (huggingface#28769) * Added cache clearing for GPU efficiency. * Added cache clearing for GPU efficiency. * Added batch_eval_metrics capability * Ran make fixup * Fixed bug * Fixed whitespace issue * Fixed outdated condition * Updated docstrings with instructions for batch_eval_metrics. Updated end of dataloader logic * Added first version of batch_eval_metrics Trainer test * Fixed batch_eval_metrics Trainer tests for both eval and predict * Fixed batch_eval_metrics behavior for new Trainer variables * Fixed batch_eval_metrics Trainer tests * Ran fixup

Update llama3.md fix typo

* Deprecate resume_download * remove default resume_download value --------- Co-authored-by: Lysandre Debut <[email protected]>

top-k instead of top-p in docstring

…on_transformer (huggingface#30680) Bump jinja2 in /examples/research_projects/decision_transformer Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.3 to 3.1.4. - [Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](pallets/jinja@3.1.3...3.1.4) --- updated-dependencies: - dependency-name: jinja2 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…sion_transformer (huggingface#30679) Bump werkzeug in /examples/research_projects/decision_transformer Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.0.1 to 3.0.3. - [Release notes](https://github.com/pallets/werkzeug/releases) - [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst) - [Commits](pallets/werkzeug@3.0.1...3.0.3) --- updated-dependencies: - dependency-name: werkzeug dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…e=True (huggingface#29024) * Adding _tie_weights() to prediction heads to support low_cpu_mem_usage=True * Testing for the non-safe-tensors case, since the default is safe-tensors already * Running fixup/fix-copies * Adding accelerate annotations to tests

…lse` (huggingface#30485) * Fix cache_position init for generation * Update src/transformers/generation/utils.py Co-authored-by: Arthur <[email protected]> * Fix cache position update --------- Co-authored-by: Arthur <[email protected]>

* force chunk_length_s in AutomaticSpeechRecognitionPipeline * compute num_frames even when stride is None * add slow tests * fix test * Update src/transformers/pipelines/automatic_speech_recognition.py Co-authored-by: amyeroberts <[email protected]> * Update tests/pipelines/test_pipelines_automatic_speech_recognition.py Co-authored-by: amyeroberts <[email protected]> * add input validation * fixup * small fix --------- Co-authored-by: amyeroberts <[email protected]>

…correct `ignore_index` value (huggingface#30678) updated docs of `forward` in `Idefics2ForConditionalGeneration` with correct `ignore_index` value

…on_transformer (huggingface#30646) Bump tqdm in /examples/research_projects/decision_transformer Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.63.0 to 4.66.3. - [Release notes](https://github.com/tqdm/tqdm/releases) - [Commits](tqdm/tqdm@v4.63.0...v4.66.3) --- updated-dependencies: - dependency-name: tqdm dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

…_bert (huggingface#30645) Bump tqdm in /examples/research_projects/visual_bert Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.48.2 to 4.66.3. - [Release notes](https://github.com/tqdm/tqdm/releases) - [Commits](tqdm/tqdm@v4.48.2...v4.66.3) --- updated-dependencies: - dependency-name: tqdm dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Create CodeAgent and ReactAgent * Fix formatting errors * Update documentation for agents * Add custom errors, improve logging * Support variable usage in ReactAgent * add messages * Add message passing format * Create React Code Agent * Update * Refactoring * Fix errors * Improve python interpreter * Only non-tensor inputs should be sent to device * Calculator tool slight refactor * Improve docstrings * Refactor * Fix tests * Fix more tests * Fix even more tests * Fix tests by replacing output and input types * Fix operand type issue * two small fixes * EM TTS * Fix agent running type errors * Change text to speech tests to allow changed outputs * Update doc with new agent types * Improve code interpreter * If max iterations reached, provide a real answer instead of an error * Add edge case in interpreter * Add safe imports to the interpreter * Interpreter tweaks: tuples and listcomp * Make style * Make quality * Add dictcomp to interpreter * Rename ReactJSONAgent to ReactJsonAgent * Misc changes * ToolCollection * Rename agent's logger to self.logger * Add while loops to interpreter * Update doc with new tools. still need to mention collections * Add collections to the doc * Small fixes on logs and interpretor * Fix toolbox return type * Docs + fixup * Skip doctests * Correct prompts with improved examples and formatting * Update prompt * Remove outdated docs * Change agent to accept Toolbox object for tools * Remove calculator tool * Propagate removal of calculator in doc * Fix 2 failing workflows * Simplify additional argument passing * AgentType audio * Minor changes: function name, types * Remove calculator tests * Fix test * Fix torch requirement * Fix final answer tests * Style fixes * Fix tests * Update docstrings with calculator removal * Small type hint fixes * Update tests/agents/test_translation.py Co-authored-by: Arthur <[email protected]> * Update tests/agents/test_python_interpreter.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/default_tools.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/tools.py Co-authored-by: Arthur <[email protected]> * Update tests/agents/test_agents.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/models/bert/configuration_bert.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/tools.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/speech_to_text.py Co-authored-by: Arthur <[email protected]> * Update tests/agents/test_speech_to_text.py Co-authored-by: Arthur <[email protected]> * Update tests/agents/test_tools_common.py Co-authored-by: Arthur <[email protected]> * pygments * Answer comments * Cleaning up * Simplifying init for all agents * Improving prompts and making code nicer * Style fixes * Add multiple comparator test in interpreter * Style fixes * Improve BERT example in documentation * Add examples to doc * Fix python interpreter quality * Logging improvements * Change test flag to agents * Quality fix * Add example for HfEngine * Improve conversation example for HfEngine * typo fix * Verify doc * Update docs/source/en/agents.md Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/agents.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/prompts.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/agents/python_interpreter.py Co-authored-by: Arthur <[email protected]> * Update docs/source/en/agents.md Co-authored-by: Arthur <[email protected]> * Fix style issues * local s2t tool --------- Co-authored-by: Cyril Kondratenko <[email protected]> Co-authored-by: Lysandre <[email protected]> Co-authored-by: Lysandre <[email protected]> Co-authored-by: Arthur <[email protected]>

…huggingface#30644) Bumps [tqdm](https://github.com/tqdm/tqdm) from 4.48.2 to 4.66.3. - [Release notes](https://github.com/tqdm/tqdm/releases) - [Commits](tqdm/tqdm@v4.48.2...v4.66.3) --- updated-dependencies: - dependency-name: tqdm dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* nit * better filter * pipeline tests should only be models/xxx not anything else * nit to better see filtering of the files that are passed to test torch * oups

…#30695) fix Co-authored-by: ydshieh <[email protected]>

…0697) * rename * update --------- Co-authored-by: ydshieh <[email protected]>

…ors value (huggingface#30602) * add safetensors to model not found error for default use_safetensors=None case * format code w/ ruff * fix assert true typo

pin ds

* patch clip preprocessor * Update image_processing_clip.py * Update src/transformers/models/clip/image_processing_clip.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

* Training script for object detection * Evaluation script for object detection * Training script for object detection with eval loop outside trainer * Trainer DETR finetuning * No trainer DETR finetuning * Eval script * Refine object detection example with trainer * Remove commented code and enable telemetry * No trainer example * Add requirements for object detection examples * Add test for trainer example * Readme draft * Fix uploading to HUB * Readme improvements * Update eval script * Adding tests for object-detection examples * Add object-detection example * Add object-detection resources to docs * Update README with custom dataset instructions * Update year * Replace valid with validation * Update instructions for custom dataset * Remove eval script * Remove use_auth_token * Add copied from and telemetry * Fixup * Update readme * Fix id2label * Fix links in docs * Update examples/pytorch/object-detection/run_object_detection.py Co-authored-by: NielsRogge <[email protected]> * Update examples/pytorch/object-detection/run_object_detection.py Co-authored-by: NielsRogge <[email protected]> * Move description to the top * Fix Trainer example * Update no trainer example * Update albumentations version --------- Co-authored-by: NielsRogge <[email protected]>

Change order

remove labels from llavas

* Add installation of examples requirements in CI * Update .circleci/create_circleci_config.py Co-authored-by: Arthur <[email protected]> --------- Co-authored-by: Arthur <[email protected]>

* Object detection guide * Minor update * Minor updates, links * Fix typo * Wording, add albu space * Add missing part * Update docs/source/en/tasks/object_detection.md Co-authored-by: amyeroberts <[email protected]> * Update docs/source/en/tasks/object_detection.md Co-authored-by: NielsRogge <[email protected]> * Update docs/source/en/tasks/object_detection.md Co-authored-by: NielsRogge <[email protected]> * Fix device, add imports for inference --------- Co-authored-by: amyeroberts <[email protected]> Co-authored-by: NielsRogge <[email protected]>

* immutability fix for seq2seq as well as immutability tests for the collators * ensure we don't act on none labels and formatting * remove tf/pt in respective tests as they are not required * more type error fixes tf/np * remove todo * apply suggestions from code review * formatting / style

…huggingface#30719) * Add interpolate positional encoding to siglip * Change # of patches for siglip interpolation test * fix formatting * Apply nit suggestions from code review Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

* feat: enable dynamic resolution for vivit * fix: formatting * remove: print statement for testing * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update tests/models/vivit/test_modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * Update src/transformers/models/vivit/modeling_vivit.py Co-authored-by: amyeroberts <[email protected]> * fix: style check --------- Co-authored-by: amyeroberts <[email protected]>

* [test_all] Remove all imports Remove remaining ARCHIVE MAPS Remove remaining PRETRAINED maps * review comments * [test_all] empty commit to trigger tests

* min_p * more relaxed test to avoid numerical issues * Update src/transformers/generation/logits_process.py Co-authored-by: menhguin <[email protected]> * Update src/transformers/generation/configuration_utils.py Co-authored-by: menhguin <[email protected]> * docstring clarifications * PR comments * Update tests/generation/test_logits_process.py Co-authored-by: amyeroberts <[email protected]> * make fixup --------- Co-authored-by: menhguin <[email protected]> Co-authored-by: amyeroberts <[email protected]>

* feat: add note about owlv2 * fix: post processing coordinates * remove: workaround document * fix: extra quotes * update: owlv2 docstrings * fix: copies check * feat: add unit test for resize * Update tests/models/owlv2/test_image_processor_owlv2.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

kv_cache is no longer a model attribute

…30624) * tmp commit * [test_all] mvp * missing not * [test_all] final test fixes * fix musicgen_melody and rag * [test_all] empty commit * PR comments * Update src/transformers/generation/utils.py Co-authored-by: Arthur <[email protected]> --------- Co-authored-by: Arthur <[email protected]>

* Update CodeLlama references * Update slow_documentation_tests.txt * Update slow_documentation_tests.txt

* copy en/ contect to es/ * translate first section * translate the doc * fix typos * run make style

Update llama3.md fix typo again

…e#30552) * force back to commit ba40a21 and fix workflow errors * match the review suggestions * fix ci errors * fix CI * fix ci, format code * fix ci, ruff format * fix ci, ruff format again * Update src/transformers/models/qwen2_moe/configuration_qwen2_moe.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/models/qwen2_moe/configuration_qwen2_moe.py Co-authored-by: Arthur <[email protected]> * Update src/transformers/models/qwen2_moe/configuration_qwen2_moe.py Co-authored-by: Arthur <[email protected]> * solve this warning: Default Argument Value is mutable --------- Co-authored-by: Arthur <[email protected]>

…ecated `model.active_adapter` whenever possible (huggingface#30738) * Update trainer.py * Update src/transformers/trainer.py * Update src/transformers/trainer.py * Update src/transformers/trainer.py * style * Update src/transformers/trainer.py * Update src/transformers/trainer.py

* update link * run make style

* hqq - fix weight check in check_quantized_param * ruff format

* fix awq test * style * add log * new fix * style * only modifying impacted model in the end * rename function

huggingface#30737) * Remove commit details * remove old workflow

* blip with interpolated pos encoding * feat: Add interpolate_pos_encoding option to other models from `BLIP` family. * include check for textual generated content in tests

* remove unrelated changes * remove unrelated changes on phi and stable LM * add: Test for Falcon 10B * fix: formatting * fix: loading the falcon 10B in 8 bit precision using bitsanbytes. * fix: device placement * fix: broken tests. * fix: backwards compatibility for falcon 1B architecture. * chore: updated test. * chore: test_modeling_falcon.py to use the 11B model. * chore: minor edit * chore: formating. --------- Co-authored-by: Pablo Montalvo <[email protected]> Co-authored-by: ArthurZucker <[email protected]>

* Adding ms_deform_attn kernels to GroundingDino * Pointing to deformable detr kernels

* 4d mask fixes * Update custom 4D mask logic * test moved to mixin * extra tests 4d mask * upd 4d mask and StaticCache handling * added Mask4DTestHard to mistral tests * post-rebase fixes * test fixes for StaticCache * make fix-copies * upd 1 after huggingface#30476 * fix common tests * rm elif attention_mask.dim() == 4: * tests combined, fixed, mixtral supported * bigbird style chg reverted * rm if attention_mask.dim() == 2 * modeling_llama formatting chg --------- Co-authored-by: Joao Gante <[email protected]>

* attempt to fix multi-device generation * fix * final fix * final fix * fix * fix * fix * fix * add joao suggestion * fix

qwen does not support the new cache classes

* check model.device * fix * style fix * move model device * remove print * add comment * fix * add unit test * optimize * change test names and add more cases * Update tests/pipelines/test_pipelines_common.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

* Lower threshold * Address comment

* Initial commit * Just a copy of modeling_idefics.py that will be ported to TF * - Prepend TF to the name of all classes - Convert pytorch ops to TF (not all operations are converted yet) * Add TF imports * Add autotranslated files * Add TF classes to model_tf_auto.py * Add the TF classes in model_doc * include auto-translated code * Adopted from auto-translated version * Add a forgotten super().build * Add test code for TF version. * Fix indentation and load pytorch weights for now * Some fixes. Many tests are still failing but some are passing now. - I have added TODO's for some of the hacks I made to unblock me and I will address them soon - I have the processing_idefics.py hacked in my view to support TF temporarily * Add ALL_LAYERNORM_LAYERS to match pytorch * Revert "Add ALL_LAYERNORM_LAYERS to match pytorch" This reverts commit 7e0a351 as it is not needed in the tf implementation. * Fix freeze_relevant_params() * Some more fixes * Fix test_attention_outputs * Add tf stuff to processing_idefics.py processing_idefics.py supports both pytorch and tf now. test_processor_idefics.py for pytorch is passing, so i didn't break anything but still some issues with tf. I also need to add tf tests in test_processor_idefics.py. * Pass return_tensors to image processing code and fix test * Pass return_tensors to the image processor __init__ * Fix several test cases - Make input to some of the forward pass of type `TFModelInputType` - Decorate main layer forward pass with `@unpack_inputs` - Decorate main layer with `@keras_serializable` - Pass `inputs` to TFIdeficsModel * Some more fixes forgotten in last commit * Fix processing code and vision_tf.py * Fix perceiver bug * Import from * Auto-add build() methods + style pass * Fix build() errors due to `None` being passed as shape to some layers * Change name in TFIdeficsForVisionText2Text to attribute in IdeficsForVisionText2Text * Fix pytorch weights load for tf2 There were a lot of `name=` missing in weight initialization code. * Attempt to fix CI * Add back accidently removed line * Remove torch-specific stuff from the TF test file * make fix-copies, make style, remove autotranslated files * Fixes to imports/docstrings * Let's try the from future import in desperation * Fix the core random_attention_mask fn to match the torch/flax behaviour * Clean random_attention_mask up correctly * Remove torch-only test * Fix loss shape, couple of nits * make style * Don't test for OOB embeddings because IDEFICS uses those deliberately * Fix loss computation to handle masking * Fix test failures when flattening * Fix some test failures - Add cross attention gate which was missing and wasn't being passed arround - Fix overwriting of image_attention_mask due to hack I had for dummy inputs * Add a proper stateless scaled_dot_product_attention * make style * Adding missing attribute from the PyTorch version * Small cleanups to decoupledlinearlayer in case that helps * Pass epsilon to LayerNormalization * Attemp to fix pytorch weight cross-loading for TFIdeficsEmbedding * Fix a bug in TFIdeficsGatedCrossAttentionLayer * Patching up build() methods * Constant self.inv_freq * Constant self.inv_freq * First working version The TF implementation works now, there was a bug in the TFIdeficsDecoupledLinear where the weights were mis-intialized (in_features,out_features) when it should be: (out_features, in_features) I have tested this so far with tiny-random and idefics-9b-instruct and gives correct output. I also dumped the final outputs for both pytorch and TF and they are identical. * Fix some test failures * remove print statement * Fix return_tensors * Fix CI test failure check_code_quality * Attempt to fix CI failures by running `make fixup` The hardcoded IDs in test_modeling_tf_idefics.py are for the integration test and makes that file unreadable and should probably be moved to a seperate file. * Attempt to fix tests_pr_documentation_tests * Fix a test failure in test_image_processing_idefics.py * Fix test test_pt_tf_model_equivalence * Fix a few failures * Tiny fix * Some minor fixes * Remove a duplicate test * Override a few test failures for IDEFICS - `test_keras_save_load` is passing now - `test_compile_tf_model` is still failing * Fix processing_idefics.py after rebase * Guard import keras with is_tf_available * fix check code quality * fix check code quality * Minor fixes * Skip test_save_load temporarily This test passed on my local box but fails on the CI, skipping for now to see if there are other remaining failures on the CI. * Run `ruff format tests src utils` * Fix last failing test, `test_compile_tf_model` * Add fixes for vision_tf.py I forgot to add this file in last commit. * Minor fixes * Replace "<<<" with "<<" for doc tests IDEFICS-9B is too big for doctest runner, so don't run it there * Make code more readable * Fix bug after code review I added a layer_norm_eps to IdeficsConfig but I don't even need it since the vision config has a layer_norm_eps. * Fix after code review Use original code tokenizer.convert_tokens_to_ids * Keep PyTorch as the default return_tensors * Fixes to modeling_tf after code review * Fixes from code review - Remove all references of `TF_IDEFICS_PRETRAINED_MODEL_ARCHIVE_LIST` - Pass 1e-5 to LayerNormalization in perceiver * Run ruff * Undo a change * Refactor processing code after Matt's suggestion * Remove TODO's that aren't needed anymore * For pytorch, Use original pytorch processing code from main Since this PR is a TF port it shouldn't make any modifications to pytorch IDEFICS code. This changes undo's the pytorch processing modifications I made and uses original code from main. * Update tests/models/idefics/test_modeling_idefics.py * Update tests/models/idefics/test_modeling_tf_idefics.py * Add missing imports for is_pt_tf_cross_test * [DO NOT MERGE]: This is a commit for debugging and will be reverted The cross test `test_pt_tf_model_equivalence` passes locally but fails when running on the CI. This commit is to help debug that and will be reverted. * Revert "[DO NOT MERGE]: This is a commit for debugging and will be reverted" This reverts commit 8f0d709. * [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted * [DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted * Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted" This reverts commit 998cc38. * Revert "[DO NOT MERGE]: This commit is for debugging a CI failure and will be reverted" This reverts commit 1c695ac. * Don't skip test_save_load IIRC test_save_load was also failing on the CI but not on my local box, it might be easier to debug that on the CI first than the cross tests * Debugging commit, will be reverted * Revert "Debugging commit, will be reverted" This reverts commit 8eafc8e. * Override `test_save_load` and push model to save Maybe this will help me repro this weird bug * pass my repo_id * add endpoint * Pass a temp (write) token just for this CI * Undo last few commits, still pushing to hub for model debugging The issue seems to be with save_pretrained(), when I looked at the model saved from the CI test failure it is basically empty and has no weights. `self.save_weights(..)` seems to be failing in save_pretrained but needs more debugging * Add logging to modeling tf utils, will be reverted just for debugging * Debugging, will revert * Revert "Debugging, will revert" This reverts commit 9d0d307. * Revert "Add logging to modeling tf utils, will be reverted just for debugging" This reverts commit 774b6b7. * Remove `test_save_load` The CI failures are gone after my latest rebase, no idea why but I was still saving the model to my hub on HF and the tf_model.h5 file now has everything. * Run make fix-copies * Run ruff format tests src utils * Debugging commit, will be reverted * Run ruff, also trigger CI run * Run ruff again * Undo debugging commit --------- Co-authored-by: Matt <[email protected]> Co-authored-by: Matt <[email protected]>

…e#30778) * assistant should be greedy * better comment * Update src/transformers/generation/candidate_generator.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: amyeroberts <[email protected]>

huggingface#30699) * update * update * update * update * update * update * update * update * Update utils/notification_service.py Co-authored-by: amyeroberts <[email protected]> --------- Co-authored-by: ydshieh <[email protected]> Co-authored-by: amyeroberts <[email protected]>

* Add utility for finding candidate models for deprecation * Update model init * Make into configurable script * Fix path * Add sorting of base object alphabetically * Tidy * Refactor __init__ alpha ordering * Update script with logging * fix import * Fix logger * Fix logger * Get config file before moving files * Take models from CLI * Split models into lines to make easier to feed to deprecate_models script * Update * Use posix path * Print instead * Add example in module docstring * Fix up * Add clarifying comments; add models to DEPRECATE_MODELS * Address PR comments * Don't update relative paths on the same level

* update to ROCm 6.0.2 and test MI300 * add callers for mi300 * update dockerfile * fix trainer tests * remove apex * style * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * Update tests/trainer/test_trainer_seq2seq.py * update to torch 2.3 * add workflow dispatch target * we may need branches: mi300-ci after all * nit * fix docker build * nit * add check runner * remove docker-gpu * fix issues * fix --------- Co-authored-by: Yih-Dar <[email protected]> Co-authored-by: ydshieh <[email protected]>

fix: owlv2 doc

standardize cache in idefics2

) Access active_adapters as a property

…9676) * add watermarking processor * remove the other hashing (context width=1 always) * make style * Update src/transformers/generation/logits_process.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/logits_process.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/logits_process.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/configuration_utils.py Co-authored-by: Joao Gante <[email protected]> * update watermarking process * add detector * update tests to use detector * fix failing tests * rename `input_seq` * make style * doc for processor * minor fixes * docs * make quality * Update src/transformers/generation/configuration_utils.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/logits_process.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/watermarking.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/watermarking.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/watermarking.py Co-authored-by: Joao Gante <[email protected]> * add PR suggestions * let's use lru_cache's default max size (128) * import processor if torch available * maybe like this * lets move the config to torch independet file * add docs * tiny docs fix to make the test happy * Update src/transformers/generation/configuration_utils.py Co-authored-by: Joao Gante <[email protected]> * Update src/transformers/generation/watermarking.py Co-authored-by: Joao Gante <[email protected]> * PR suggestions * add docs * fix test * fix docs * address pr comments * style * Revert "style" This reverts commit 7f33cc3. * correct style * make doctest green --------- Co-authored-by: Joao Gante <[email protected]>

Co-authored-by: amyeroberts <[email protected]>

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