setup.py

from setuptools import find_packages, setup

with open("README.md", mode="r", encoding="utf-8") as readme_file:
    readme = readme_file.read()


setup(
    name="sentence-transformers",
    version="3.1.0.dev0",
    author="Nils Reimers, Tom Aarsen",
    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(),
    include_package_data=True,
    python_requires=">=3.8.0",
    install_requires=[
        "transformers>=4.34.0,<5.0.0",
        "tqdm",
        "torch>=1.11.0",
        "numpy",
        "scikit-learn",
        "scipy",
        "huggingface-hub>=0.15.1",
        "Pillow",
    ],
    extras_require={
        "train": [
            "datasets",
            "accelerate>=0.20.3",
        ],
        "dev": [
            "datasets",
            "accelerate>=0.20.3",
            "pre-commit",
            "pytest",
            "ruff>=0.3.0",
        ],
    },
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: Apache Software License",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Programming Language :: Python :: 3.11",
        "Programming Language :: Python :: 3.12",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
    ],
    keywords="Transformer Networks BERT XLNet sentence embedding PyTorch NLP deep learning",
)