Metadata-Version: 2.1
Name: albert-tensorflow
Version: 1.1
Summary: ALBERT fork of https://github.com/google-research/google-research/tree/master/albert with package configuration
Home-page: https://github.com/SebiSebi/albert
Author: sebisebi
Author-email: gpirtoaca@gmail.com
License: Apache 2.0
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 2
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Development Status :: 5 - Production/Stable
Description-Content-Type: text/markdown
Requires-Dist: six
Provides-Extra: absl-py
Requires-Dist: absl-py (>=0.7.0) ; extra == 'absl-py'
Provides-Extra: numpy
Requires-Dist: numpy (>=1.15.0) ; extra == 'numpy'
Provides-Extra: sentencepiece
Requires-Dist: sentencepiece (>=0.1.83) ; extra == 'sentencepiece'
Provides-Extra: tensorflow
Requires-Dist: tensorflow (>=1.13.1) ; extra == 'tensorflow'

# ALBERT for TensorFlow

This is a fork of the original [ALBERT repository](https://github.com/google-research/google-research/tree/master/albert)
that adds package configuration so that it can be easily installed and used.
The purpose is to remove the need of cloning the repository and modifying it
locally which can be quite dirty for common tasks (e.g. training a new classifier).
A lot of code could be shared (e.g. `modeling.py`, `optimization.py`) and this
fork is exactly for that.

All the credit goes to [google-research/albert](https://github.com/google-research/google-research/tree/master/albert).

Please refer to the official repository for details on how to use the modules
contained in this package. Useful information can also be found
in the [ALBERT paper](https://arxiv.org/abs/1909.11942).


# Release Notes

* November 5, 2019: Initial version - [v1.0](https://github.com/SebiSebi/albert-tensorflow/releases/tag/v1.0).
* November 15, 2019: version 1.1 - [v1.1](https://github.com/SebiSebi/albert-tensorflow/releases/tag/v1.1).


