Factual package intelligence from PyPI

kashgari 2.0.2 package intelligence

Simple, Keras-powered multilingual NLP framework, allows you to build your models in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS) and text classification tasks. Includes BERT, GPT-2 and word2vec embedding.

pip install kashgari

Current version
2.0.2
Python requirement
>3.6
License
Apache License 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
139.7 KiB
Release history
24 releases with files
Median release cadence
7 days

kashgari dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.18.1
  2. gensim <4.0.0,>=3.8.1
  3. pandas >=1.0.1
  4. tqdm
  5. bert4keras >=0.9.1
  6. scikit-learn >=0.21.1

Compatibility and release files

kashgari publishes 1 wheel and 1 source archive for version 2.0.2. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Release activity and sources

PyPI lists 24 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .