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from setuptools import find_packages, setup
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="tessar_tokenizer",
version="0.1.0",
description="Advanced Tokenizer for Table-based Transformations by SVECTOR",
long_description=long_description,
long_description_content_type="text/markdown",
author="SVECTOR",
author_email="team@svector.co.in",
url="https://www.svector.co.in",
packages=find_packages(),
package_data={
'tessar_tokenizer': ['*.json'],
},
install_requires=[
"transformers>=4.27.0",
"torch>=1.10.0",
"numpy>=1.19.0"
],
extras_require={
'dev': [
'pytest',
'black',
'mypy',
'isort'
]
},
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
],
keywords="nlp tokenizer machine-learning table-transformations",
python_requires=">=3.7",
entry_points={
'console_scripts': [
'tessar-tokenizer=tessar_tokenizer.cli:main',
],
},
) |