LLM Course

0. Setup

1. Transformer models

2. Using 🤗 Transformers

3. Fine-tuning a pretrained model

Introduction Processing the data Fine-tuning a model with the Trainer API A full training loop Understanding Learning Curves Fine-tuning, Check!End-of-chapter quiz

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

End-of-chapter Certificate

Congratulations on completing the course! You’ve learned how to fine-tune pretrained models, understand learning curves, and share your models with the community. Now it’s time to take the quiz to test your knowledge and get your certificate.

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

Sign in to your Hugging Face account.
Answer the questions in the quiz.
Submit your answers.

Multiple Choice Quiz

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.

Update on GitHub

←Fine-tuning, Check!