• fastNLP
• • Requirements
  • Resources
  • Installation
  • Project Structure

fastNLP

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:

Requirements

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

Resources

• Documentation
• Source Code

Installation

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 presedure
fastNLP.models	a collection of NLP models
fastNLP.modules	a collection of PyTorch sub-models/components/wheels
fastNLP.io	readers & savers