Metadata-Version: 2.1
Name: SeqLbToolkit
Version: 0.2.7
Summary: Commonly-used functions for building sequence labeling models.
Home-page: https://github.com/Yinghao-Li/seqlbtoolkit
Author: Yinghao Li
Author-email: yinghaoli@gatech.edu
License: MIT
Keywords: nlp sequence-labeling ml machine-learning natural-language-processing
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# 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.

[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg?color=purple)](https://www.python.org/)
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/Yinghao-Li/seqlbtoolkit/)
[![PyPI version](https://badge.fury.io/py/SeqLbToolkit.svg)](https://badge.fury.io/py/SeqLbToolkit)
![GitHub stars](https://img.shields.io/github/stars/Yinghao-Li/seqlbtoolkit.svg?color=gold)
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## 1. Installation

- Install from PyPI:
```bash
pip install -U SeqLbLoolkit
```

- Install from wheel:
```bash
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](https://github.com/Yinghao-Li/seqlbtoolkit/wiki) for documentation.
