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

Exam Time!

It’s time to put your knowledge to the test! We’ve prepared a short quiz for you to test your understanding of the concepts covered in this chapter.

To take the quiz, you will need to follow these steps:

In this quiz, you will be asked to select the correct answer from a list of options. We’ll test you on the fundamentals of supervised finetuning.