Metadata-Version: 2.1
Name: xcube
Version: 0.0.1
Summary: Extreme Multi-Label Text Classification
Home-page: https://github.com/debjyotiSRoy/xcube
Author: debjyotiSRoy
Author-email: debjyoti.saharoy@gmail.com
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

xcube
================

<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This is under development.

This file will become your README and also the index of your
documentation.

## Install

Install using:

``` sh
pip install xcube
```

or

``` sh
conda install xcube
```

## How to use

Fill me in please! Don’t forget code examples:

## Acknowledgement

This repository is my attempt to create Extreme Multi-Label Text
Classifiers using Language Model Fine-Tuning as proposed by [Jeremy
Howard](https://jeremy.fast.ai) and [Sebastian
Ruder](https://www.ruder.io) in
[ULMFit](https://arxiv.org/pdf/1801.06146v5.pdf). I am also heavily
influenced by the [fast.ai’s](https://fast.ai) course [Practical Deep
Learning for Coders](https://course.fast.ai/) and the excellent library
[fastai](https://github.com/fastai/fastai). I have adopted the style of
coding from [fastai](https://github.com/fastai/fastai) using the jupyter
based dev environment [nbdev](https://nbdev.fast.ai/). Since this is one
of my fast attempt to create a full fledged python library, I have at
times replicated implementations from fastai with some modifications. A
big thanks to Jeremy and his team from [fast.ai](https://fast.ai) for
everything they have been doing to make AI accessible to everyone.
