Extreme Multi-Label Text Classification
Project description
xcube
This is under development.
This file will become your README and also the index of your documentation.
Install
Install using:
pip install xcube
or
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 and Sebastian Ruder in ULMFit. I am also heavily influenced by the fast.ai’s course Practical Deep Learning for Coders and the excellent library fastai. I have adopted the style of coding from fastai using the jupyter based dev environment nbdev. 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 for everything they have been doing to make AI accessible to everyone.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
