text: 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="0.2.4",
      author="Nils Reimers, Gregor Geigle",
      author_email="Rnils@web.de",
      description="Sentence Embeddings using BERT / XLNet",
      long_description=readme,
      long_description_content_type="text/markdown",
      license="Apache License 2.0",
      url="https://github.com/UKPLab/sentence-transformers",
      download_url="https://github.com/UKPLab/sentence-transformers/archive/v0.2.4.zip",
      packages=find_packages(),
      install_requires=[
          "transformers==2.2.1",
          "tqdm",
          "torch>=1.0.1",
          "numpy",
          "scikit-learn",
          "scipy",
          "nltk"
      ],
      classifiers=[
          "Development Status :: 4 - Beta",
          "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"
  )
  