fastNLP: A Modularized and Extensible Toolkit for Natural Language Processing. Currently still in incubation.
Clone or download
FengZiYjun Update
fix tutorial link
Latest commit 3fa95b6 Jan 14, 2019


Build Status codecov PyPI version Documentation Status

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:


  • Python>=3.6
  • numpy>=1.14.2
  • torch>=0.4.0
  • tensorboardX
  • tqdm>=4.28.1



Run the following commands to install fastNLP package.

pip install fastNLP

Project Structure

fastNLP an open-source NLP library
fastNLP.api APIs for end-to-end prediction
fastNLP.core data representation & train/test procedure
fastNLP.models a collection of NLP models
fastNLP.modules a collection of PyTorch sub-models/components/wheels readers & savers