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.
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-0.4.6.tar.gz
(25.9 kB
view hashes)
Built Distribution
Close
Hashes for SeqLbToolkit-0.4.6-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6ab7bbd60d8afb1cbcffe32658b8323dc6db29ea4a33c99c148370f8845fd51b |
|
| MD5 | 3ee21fc27b48107f3eba91ac3550cf5c |
|
| BLAKE2b-256 | 10b36d6b54fa1397470d0263e93c836899830f3d4d0c83b5fa55402eeae7b5a3 |
