Hugging Face Diffusion Models Course

In this free course, you will:

Prerequisites

This course requires a good level in Python and a grounding in deep learning and Pytorch. If it’s not the case yet, you can check these free resources:

To upload your models to the Hugging Face Hub, you’ll need an account. You can create one for free at the following address: https://huggingface.co/join.

What is the syllabus?

The course consists in four units. Each unit is made up of a theory section, which also lists resources/papers, and two notebooks. More specifically, we have:

Who are we?

About the authors:

Jonathan Whitaker is a Data Scientist/AI Researcher doing R&D with answer.ai. He likes teaching and making courses. His current focus is on generative AI, flitting between several modalities. You can find more info at: johnowhitaker.dev.

Lewis Tunstall is a machine learning engineer at Hugging Face, focused on developing open-source tools and making them accessible to the wider community. He is also a co-author of the O’Reilly book Natural Language Processing with Transformers.

FAQ

Here are some answers to frequently asked questions:

Link to the Hugging Face course notebooks
@misc{huggingfacecourse,
  author = {Hugging Face},
  title = {The Hugging Face Diffusion Models Course, 2022},
  howpublished = "\url{https://huggingface.co/course}",
  year = {2022},
  note = "[Online; accessed <today>]"
}

Let’s get started!

Are you ready to get started? Then go to the first unit to start the course.