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
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-0.3.6.tar.gz
(25.7 kB
view hashes)
Built Distribution
Close
Hashes for SeqLbToolkit-0.3.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1694312da9671b0e3e6e07cc4c84970978ac3e53a02f41ec52cc8f63171653a8 |
|
MD5 | 6443c0cc694702db0d1c56791c12c43d |
|
BLAKE2b-256 | ecc3eb6d19f85b52d2e6def7f1c7eecd44a1614ff10e77522b26654245b907a8 |