LLM Course documentation
Gradio Blocks Party
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
Gradio Blocks Party
Along with the release of the Gradio chapter of the course, Hugging Face hosted a community event on building cool machine learning demos using the new Gradio Blocks feature.
You can find all the demos that the community created under the Gradio-Blocks organisation on the Hub. Here’s a few examples from the winners:
Natural language to SQL
Update on GitHub