Skip to main content

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.

made-with-python Maintenance PyPI version GitHub stars GitHub forks

1. Installation

  • Install from PyPI:
pip install -U SeqLbLoolkit

2. Documentation

Please refer to wiki for documentation.

Project details


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

SeqLbToolkit-0.5.4-py3-none-any.whl (31.8 kB view details)

Uploaded Python 3

File details

Details for the file SeqLbToolkit-0.5.4-py3-none-any.whl.

File metadata

  • Download URL: SeqLbToolkit-0.5.4-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

Hashes for SeqLbToolkit-0.5.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f573915ef653000f058fed194ef1e4044ea27ef4439d7dba05551806295e3630
MD5 6d99f522834414bbbe3dbf40001c62f9
BLAKE2b-256 df445c6589bed7ccaa86d1fc6f806f79d3c6e4640bf910492c272053516f9a6f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page