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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file SeqLbToolkit-0.5.3-py3-none-any.whl.
File metadata
- Download URL: SeqLbToolkit-0.5.3-py3-none-any.whl
- Upload date:
- Size: 31.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b822d88a472c8a9c5f2154092746613090e444a057e7b8889858928d030031e9 |
|
| MD5 | 1e97d2ff3f9cf310fb6beef09b41a1ae |
|
| BLAKE2b-256 | 2779e60c94e54ab2bdcbfbb833a166830f0153943371dce2bfbea4e24260c0de |
