LLM Course

0. Setup

1. Transformer models

2. Using 🤗 Transformers

3. Fine-tuning a pretrained model

4. Sharing models and tokenizers

5. The 🤗 Datasets library

6. The 🤗 Tokenizers library

7. Classical NLP tasks

8. How to ask for help

9. Building and sharing demos

10. Curate high-quality datasets

11. Fine-tune Large Language Models

12. Build Reasoning Models new

Course Events

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

Coming soon…

This chapter is being run as a live cohort now! If you’ve finished the material so far, here’s what to expect:

Date	Unit
~March 7th, 2025~	~No-Code Exam and Certification~
~March 14th, 2025~	~Next Practical Exercise~
March 21st, 2025	Interactive code review
April 2025	More written material on building reasoning models
April 2025	Live sessions on building Open R1
April 2025	Code Exam and Certification

If you want to follow the course, follow the The Reasoning Course and join the Discord community!