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from setuptools import setup, find_packages |
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with open("README.md", mode="r", encoding="utf-8") as readme_file: |
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readme = readme_file.read() |
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setup( |
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name="sentence-transformers", |
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version="2.2.2", |
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author="Nils Reimers", |
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author_email="[email protected]", |
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description="Multilingual text embeddings", |
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long_description=readme, |
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long_description_content_type="text/markdown", |
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license="Apache License 2.0", |
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url="https://www.SBERT.net", |
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download_url="https://github.com/UKPLab/sentence-transformers/", |
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packages=find_packages(), |
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python_requires=">=3.6.0", |
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install_requires=[ |
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'transformers>=4.6.0,<5.0.0', |
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'tqdm', |
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'torch>=1.6.0', |
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'torchvision', |
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'numpy', |
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'scikit-learn', |
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'scipy', |
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'nltk', |
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'sentencepiece', |
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'huggingface-hub>=0.4.0' |
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], |
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classifiers=[ |
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"Development Status :: 5 - Production/Stable", |
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"Intended Audience :: Science/Research", |
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"License :: OSI Approved :: Apache Software License", |
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"Programming Language :: Python :: 3.6", |
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"Topic :: Scientific/Engineering :: Artificial Intelligence" |
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], |
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keywords="Transformer Networks BERT XLNet sentence embedding PyTorch NLP deep learning" |
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) |
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