tfkit 0.7.17

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

Classification	Multi-class
Classification	Multi-label
Question Answering	Extractive - SQuAD like
Question Answering	Multiple-choice
Tagging	Sequence level
Tagging	Sequence level with crf
Text Generation	Seq2seq models - BART/T5/Bert2Bert...
Text Generation	Causal LM models - GPT/GPT2...
Text Generation	Once models
Text Generation	Once models with ctc loss
Text Generation	Onebyone models
Self-supervise Learning	Mask LM

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