The multitask and transfer learning toolkit for natural language processing research

The multitask and transfer learning toolkit for natural language processing research.

Why should I use jiant?

A few additional things you might want to know about jiant:

• jiant is configuration file driven
• jiant is built with PyTorch
• jiant integrates with datasets to manage task data
• jiant integrates with transformers to manage models and tokenizers.

Getting Started

Installation

To import jiant from source (recommended for researchers):

git clone https://github.com/nyu-mll/jiant.git
cd jiant
pip install -r requirements.txt

# Add the following to your .bash_rc or .bash_profile 
export PYTHONPATH=/path/to/jiant:$PYTHONPATH

If you plan to contribute to jiant, install additional dependencies with pip install -r requirements-dev.txt.

To install jiant from source (alternative for researchers):

git clone https://github.com/nyu-mll/jiant.git
cd jiant
pip install . -e

To

 

 

 

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