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from setuptools import setup, find_packages
with open("README.md", mode="r", encoding="utf-8") as readme_file:
readme = readme_file.read()
setup(
name="sentence-transformers",
version="2.2.2",
author="Nils Reimers",
author_email="info@nils-reimers.de",
description="Multilingual text embeddings",
long_description=readme,
long_description_content_type="text/markdown",
license="Apache License 2.0",
url="https://www.SBERT.net",
download_url="https://github.com/UKPLab/sentence-transformers/",
packages=find_packages(),
python_requires=">=3.6.0",
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'
],
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.6",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
],
keywords="Transformer Networks BERT XLNet sentence embedding PyTorch NLP deep learning"
)
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