Transformers kit - Multi-task QA/Tagging/Multi-label Multi-Class Classification/Generation with BERT/ALBERT/T5/BERT
Project description
What is it
TFKit is a deep natural language process framework for classification/tagging/question answering/embedding study and language generation.
It leverages the use of transformers on many tasks with different models in this all-in-one framework.
All you need is a little change of config.
Task Supported
With transformer models - BERT/ALBERT/T5/BART......
| Classification | multi-class and multi-label classification |
| Question Answering | extractive qa |
| Question Answering | multiple-choice qa |
| Tagging | sequence level tagging / sequence level with crf |
| Text Generation | seq2seq language model |
| Text Generation | causal language model |
| Text Generation | once generation model / once generation model with ctc loss |
| Text Generation | onebyone generation model |
| Self-supervise Learning | mask language model |
Getting Started
Learn more from the document.
Supplement
- transformers models list: you can find any pretrained models here
- nlprep: download and preprocessing data in one line
- nlp2go: create demo api as quickly as possible.
Contributing
Thanks for your interest.There are many ways to contribute to this project. Get started here.
License 
Icons reference
Icons modify from Freepik from www.flaticon.com
Icons modify from Nikita Golubev from www.flaticon.com
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