A Modularized and Extensible Toolkit for Natural Language Processing. Currently still in incubation.
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:
user/installation user/quickstart
If you are looking for information on a specific function, class or method, this part of the documentation is for you.
fastNLP API <fastNLP>
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