| 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" |
| ) |
|
|
