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-0.5.0-py3-none-any.whl (31.3 kB view details)

Uploaded Python 3

File details

Details for the file SeqLbToolkit-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: SeqLbToolkit-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 31.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for SeqLbToolkit-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f9a6223bacef6a52f882bb37fccc407926bcf500d515e0457dd34dfa80a5ab54
MD5 0438139a64599db51009ab575f28e815
BLAKE2b-256 e72fec77508575d7d8ec193ed4068653b7383e3f597737e827daf5d11819d2e0

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