lileitech / pytorch-crf Goto Github PK

Conditional random field in PyTorch.

This package provides an implementation of conditional random field (CRF) in PyTorch. This implementation borrows mostly from AllenNLP CRF module with some modifications.

https://pytorch-crf.readthedocs.io/

MIT

Contributions are welcome! Please follow these instructions to install dependencies and running the tests and linter.

Make sure you setup a virtual environment with Python. Then, install all the dependencies in requirements.txt file and install this package in development mode.

pip install -r requirements.txt
pip install -e .

Simply run:

ln -s ../../pre-commit.sh .git/hooks/pre-commit

Run pytest in the project root directory.

Run flake8 in the project root directory. This will also run mypy, thanks to flake8-mypy package.