Skip to content


Choose a tag to compare
@BrikerMan BrikerMan released this 18 Oct 08:09

Unfortunately, we renamed again for consistency and clarity. Here is the new naming style.

Backend pypi version desc
TensorFlow 2.x kashgari 2.x.x coming soon
TensorFlow 1.14+ kashgari 1.x.x current version
Keras kashgari 0.x.x legacy version

If you are using the kashgari-tf version. You only need to run this command to install the new version.

pip uninstall -y kashgari-tf
pip install kashgari

Here is how the existing versions changes

Supported Backend Kashgari Versions Kahgsari-tf Version
TensorFlow 2.x kashgari 2.x.x -
TensorFlow 1.14+ kashgari 1.0.1 -
TensorFlow 1.14+ kashgari 1.0.0 0.5.5
TensorFlow 1.14+ - 0.5.4
TensorFlow 1.14+ - 0.5.3
TensorFlow 1.14+ - 0.5.2
TensorFlow 1.14+ - 0.5.1
Keras (legacy) kashgari 0.2.6 -
Keras (legacy) kashgari 0.2.5 -
Keras (legacy) kashgari 0.x.x -
  • 💥Renaming pypi package name to kashgari.
  • Allows custom average types, logs to an array for easy access to the last epoch.
  • Add min_count parameter to the base_processor.
  • Add disable_auto_summary config.