fastNLP documentation¶

A Modularized and Extensible Toolkit for Natural Language Processing. Currently still in incubation.

Introduction¶

FastNLP is a modular Natural Language Processing system based on PyTorch, built for fast development of NLP models.

A deep learning NLP model is the composition of three types of modules:

module type	functionality	example
encoder	encode the input into some abstract representation	embedding, RNN, CNN, transformer
aggregator	aggregate and reduce information	self-attention, max-pooling
decoder	decode the representation into the output	MLP, CRF

For example:

If you are looking for information on a specific function, class or method, this part of the documentation is for you.