from setuptools import setup from setuptools_rust import Binding, RustExtension setup( name="tokenizers", version="0.5.0", description="Fast and Customizable Tokenizers", long_description=open("README.md", "r", encoding="utf-8").read(), long_description_content_type="text/markdown", keywords="NLP tokenizer BPE transformer deep learning", author="Anthony MOI", author_email="anthony@huggingface.co", url="https://github.com/huggingface/tokenizers", license="Apache License 2.0", rust_extensions=[RustExtension("tokenizers.tokenizers", binding=Binding.PyO3)], classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Topic :: Scientific/Engineering :: Artificial Intelligence", ], packages=[ "tokenizers", "tokenizers.models", "tokenizers.decoders", "tokenizers.normalizers", "tokenizers.pre_tokenizers", "tokenizers.processors", "tokenizers.trainers", "tokenizers.implementations", ], package_data = { 'tokenizers': [ 'py.typed', '__init__.pyi' ], 'tokenizers.models': [ 'py.typed', '__init__.pyi' ], 'tokenizers.decoders': [ 'py.typed', '__init__.pyi' ], 'tokenizers.normalizers': [ 'py.typed', '__init__.pyi' ], 'tokenizers.pre_tokenizers': [ 'py.typed', '__init__.pyi' ], 'tokenizers.processors': [ 'py.typed', '__init__.pyi' ], 'tokenizers.trainers': [ 'py.typed', '__init__.pyi' ], 'tokenizers.implementations': [ 'py.typed' ], }, zip_safe=False, )