Merge branch 'master' into feat/efficient_loading

.github/workflows/tests.yml

@@ -16,7 +16,7 @@ jobs:
     name: Run unit tests
     strategy:
       matrix:
-        python-version: ['3.7', '3.8', '3.9', '3.10', '3.11']
+        python-version: ['3.8', '3.9', '3.10', '3.11']
         os: [ubuntu-latest, windows-latest]
       fail-fast: false
     runs-on: ${{ matrix.os }}

README.md

@@ -37,7 +37,7 @@ The following publications are integrated in this framework:
 
 ## Installation
 
-We recommend **Python 3.6** or higher, **[PyTorch 1.6.0](https://pytorch.org/get-started/locally/)** or higher and **[transformers v4.6.0](https://github.com/huggingface/transformers)** or higher. The code does **not** work with Python 2.7.
+We recommend **Python 3.8** or higher, **[PyTorch 1.6.0](https://pytorch.org/get-started/locally/)** or higher and **[transformers v4.23.0](https://github.com/huggingface/transformers)** or higher. The code does **not** work with Python 2.7.
 
 **Install with pip**
 

docs/installation.md

@@ -1,6 +1,6 @@
 # Installation
 
-We recommend **Python 3.6** or higher, **[PyTorch 1.6.0](https://pytorch.org/get-started/locally/)** or higher and **[transformers v4.6.0](https://github.com/huggingface/transformers)** or higher. The code does **not** work with Python 2.7. 
+We recommend **Python 3.8** or higher, **[PyTorch 1.6.0](https://pytorch.org/get-started/locally/)** or higher and **[transformers v4.6.0](https://github.com/huggingface/transformers)** or higher. The code does **not** work with Python 2.7. 
 
 
 

examples/applications/image-search/README.md

@@ -6,7 +6,7 @@ SentenceTransformers provides models that allow to embed images and text into th
 
 
 ## Installation
-Ensure that you have [torchvision](https://pypi.org/project/torchvision/) installed to use the image-text-models and use a recent PyTorch version (tested with PyTorch 1.7.0). Image-Text-Models have been added with SentenceTransformers version 1.0.0. Image-Text-Models are still in an experimental phase. 
+Ensure that you have [transformers](https://pypi.org/project/transformers/) installed to use the image-text-models and use a recent PyTorch version (tested with PyTorch 1.7.0). Image-Text-Models have been added with SentenceTransformers version 1.0.0. Image-Text-Models are still in an experimental phase. 
 
 ## Usage
 SentenceTransformers provides a wrapper for the [OpenAI CLIP Model](https://github.com/openai/CLIP), which was trained on a variety of (image, text)-pairs.

index.rst

@@ -18,7 +18,7 @@ You can install it using pip:
    pip install -U sentence-transformers
 
 
-We recommend **Python 3.6** or higher, and at least **PyTorch 1.6.0**. See `installation <docs/installation.html>`_ for further installation options, especially if you want to use a GPU.
+We recommend **Python 3.8** or higher, and at least **PyTorch 1.6.0**. See `installation <docs/installation.html>`_ for further installation options, especially if you want to use a GPU.
 
 
 

requirements.txt

@@ -2,10 +2,10 @@ transformers>=4.6.0,<5.0.0
 tokenizers>=0.10.3
 tqdm
 torch>=1.6.0
-torchvision
 numpy
 scikit-learn
 scipy
 nltk
 sentencepiece
 huggingface-hub
+Pillow

sentence_transformers/SentenceTransformer.py

@@ -5,11 +5,7 @@
 import stat
 from collections import OrderedDict
 import warnings
-from typing import List, Dict, Tuple, Iterable, Type, Union, Callable, Optional
-try:
-    from typing import Literal
-except ImportError:
-    from typing_extensions import Literal
+from typing import List, Dict, Tuple, Iterable, Type, Union, Callable, Optional, Literal
 import numpy as np
 from numpy import ndarray
 import transformers

setup.py

@@ -17,24 +17,24 @@
     url="https://www.SBERT.net",
     download_url="https://github.com/UKPLab/sentence-transformers/",
     packages=find_packages(),
-    python_requires=">=3.6.0",
+    python_requires=">=3.8.0",
     install_requires=[
         'transformers>=4.6.0,<5.0.0',
         'tqdm',
         'torch>=1.6.0',
-        'torchvision',
         'numpy',
         'scikit-learn',
         'scipy',
         'nltk',
         'sentencepiece',
-        'huggingface-hub>=0.4.0'
+        'huggingface-hub>=0.4.0',
+        'Pillow'
     ],
     classifiers=[
         "Development Status :: 5 - Production/Stable",
         "Intended Audience :: Science/Research",
         "License :: OSI Approved :: Apache Software License",
-        "Programming Language :: Python :: 3.6",
+        "Programming Language :: Python :: 3.8",
         "Topic :: Scientific/Engineering :: Artificial Intelligence"
     ],
     keywords="Transformer Networks BERT XLNet sentence embedding PyTorch NLP deep learning"