Premchan369/Q-TensorFormer

1from setuptools import setup, find_packages2 3with open("README.md", "r", encoding="utf-8") as fh:4    long_description = fh.read()5 6setup(7    name="q-tensorformer",8    version="4.0.0",9    author="Premchan369",10    description="Q-TensorFormer: Information-Value Driven Adaptive Resource Allocation in Hybrid Transformers",11    long_description=long_description,12    long_description_content_type="text/markdown",13    url="https://huggingface.co/Premchan369/Q-TensorFormer",14    packages=find_packages(include=["src", "src.*"]),15    classifiers=[16        "Development Status :: 4 - Beta",17        "Intended Audience :: Science/Research",18        "License :: OSI Approved :: Apache Software License",19        "Programming Language :: Python :: 3",20        "Topic :: Scientific/Engineering :: Artificial Intelligence",21    ],22    python_requires=">=3.8",23    install_requires=[24        "torch>=2.0.0",25        "transformers>=4.30.0",26        "numpy>=1.24.0",27        "pyyaml>=6.0",28    ],29    extras_require={30        "dev": [31            "pytest>=7.0",32            "pytest-cov",33            "black",34            "isort",35            "flake8",36        ],37        "full": [38            "accelerate>=0.27.0",39            "peft>=0.8.0",40            "bitsandbytes>=0.41.0",41            "wandb>=0.15.0",42        ],43    },44)45