Commonly-used functions for building sequence labeling models.
Project description
SeqLbToolkit
This repo realizes Sequence Labeling Toolkits, a toolkit box containing useful functions for accelerating implementing sequences labeling deep learning models such as BiLSTM-CRF or BERT for Token Classification.
1. Installation
- Install from PyPI:
pip install -U SeqLbLoolkit
- Install from wheel:
wget https://github.com/Yinghao-Li/seqlbtoolkit/releases/download/latest/SeqLbToolkit-latest-py3-none-any.whl
pip install SeqLbToolkit-latest-py3-none-any.whl
2. Documentation
Please refer to wiki for documentation.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
SeqLbToolkit-0.2.7.tar.gz
(33.3 kB
view hashes)
Built Distribution
Close
Hashes for SeqLbToolkit-0.2.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 350c0b8ac8af89ab8f24ebf1e543b5d1a863931d7fa5ea181425d3848d041e34 |
|
MD5 | 6ff97aafcccabd4e70612ca04d382e52 |
|
BLAKE2b-256 | 0b5512b281839bc71fb19c067d84f031b50bc49d510a6f35fa6b36cd89ae916c |