tfkit 0.7.18

Transformers kit - Multi-task QA/Tagging/Multi-label Multi-Class Classification/Generation with BERT/ALBERT/T5/BERT

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

• License

Icons reference

Icons modify from Freepik from www.flaticon.com
Icons modify from Nikita Golubev from www.flaticon.com