Metadata-Version: 2.1
Name: active-transformers
Version: 0.2.0
Summary: Active Learning for Transformer with focus on Sequence Tagging tasks
Home-page: https://github.com/ndoll1998/active-transformers/tree/master
Author: Niclas Doll
Author-email: niclas@amazonis.net
License: Apache 2.0
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Intended Audience :: Science/Research
Classifier: License :: Freely Distributable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch (>=1.11.0)
Requires-Dist: pytorch-ignite (>=0.4.9)
Requires-Dist: transformers (>=4.19.2)
Requires-Dist: datasets (>=2.7.1)
Requires-Dist: scikit-learn (>=1.1.1)
Requires-Dist: scipy (>=1.9.0)
Requires-Dist: matplotlib (>=3.5.2)
Requires-Dist: pydantic (>=1.10.2)
Requires-Dist: ray[default] (>=2.1.0)
Provides-Extra: rl
Requires-Dist: ray[rllib] (>=2.1.0) ; extra == 'rl'

# Active Transformers

![Tests Master](https://github.com/ndoll1998/active-transformers/workflows/Tests%20Master/badge.svg)
![Publish Master](https://github.com/ndoll1998/active-transformers/workflows/PyPI/badge.svg)