Factual package intelligence from PyPI

kashgari-tf 0.5.5 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-tf

Current version
0.5.5
Python requirement
>3.6
License
Apache License 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
113.6 KiB
Release history
10 releases with files
Median release cadence
4 days

kashgari-tf dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy ==1.16.4
  2. scikit-learn >=0.21.1
  3. h5py
  4. keras-bert >=0.50.0
  5. keras-gpt-2 >=0.8.0
  6. gensim >=3.5.0
  7. seqeval ==0.0.10
  8. pandas >=0.23.0

Compatibility and release files

kashgari-tf publishes 1 wheel and 1 source archive for version 0.5.5. Wheel platform tags: any.

Declared Python classifiers: 3.6.

Release activity and sources

PyPI lists 10 releases with files. The first dated release is ; 10 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .