LLM Course documentation
End-of-chapter quiz
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
Introduction to GradioBuilding your first demoUnderstanding the Interface classSharing demos with othersIntegrations with the Hugging Face HubAdvanced Interface featuresIntroduction to BlocksGradio, check!End-of-chapter quiz
10. Curate high-quality datasets
11. Fine-tune Large Language Models
12. Build Reasoning Models new
Course Events
End-of-chapter quiz
Let’s test what you learned in this chapter!