/transformers

Primary LanguageJupyter NotebookMIT LicenseMIT

Learn Transformers

This is a fork of James Calam's Transformers course repo which uses an docker image based on the HuggingFace Transformers image with GPU support along with poetry to provide a more complete and reproducible environment across different platforms.

Here are the updated installation instructions.

TODO:

  • Finish section 9 assignment
  • Finish sections 11 and 12
  • Update pyproject.toml with valid sentence transformers, haystack etc. test earlier notebooks to ensure a simple build installs everything.
  • Optional clean up notebooks and code therein, incl. new simpler APIs for tokenizers etc

Original text:

Repo for the Natural Language Processing: NLP With Transformers in Python course, you can get 70% off the price with this link! If the link stops working raise an issue or drop me a message somewhere:

YouTube | Discord

I also have plenty of free material on YouTube 😊