CourseNatural Language Processing: The Complete Course · Module 7: Sequence Models and Transformers with Hugging Face · part 46 of 73
Part 46 · Module 7: Sequence Models and Transformers with Hugging Face

Module 7: Sequence Models and Transformers with Hugging Face

1 min read·14 Oct 2026

What you need first

  • Module 6's lab, or its cells: the Module 7 lab writes back any missing files.
  • Module 4's TF-IDF intent model and Module 5's report(): this module is scored against them.
  • Basic Python and NumPy; no PyTorch needed.
  • A Google account for Colab and Drive. No model key; a Colab T4 helps for Lesson 4 and the lab, which both have a CPU path.

The rest of this part opens with an account

Signing up is free and takes one email. Nothing to pay, and nothing renews.