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Community Tutorials
Community tutorials are made by active members of the Hugging Face community that want to share their knowledge and expertise with others. They are a great way to learn about the library and its features, and to get started with core classes and modalities.
Language Models
Task | Class | Description | Author | Tutorial | Colab |
---|---|---|---|---|---|
Instruction tuning | SFTTrainer | Fine-tuning Google Gemma LLMs using ChatML format with QLoRA | Philipp Schmid | Link | |
Structured Generation | SFTTrainer | Fine-tuning Llama-2-7B to generate Persian product catalogs in JSON using QLoRA and PEFT | Mohammadreza Esmaeilian | Link | |
Preference Optimization | DPOTrainer | Align Mistral-7b using Direct Preference Optimization for human preference alignment | Maxime Labonne | Link | |
Preference Optimization | ORPOTrainer | Fine-tuning Llama 3 with ORPO combining instruction tuning and preference alignment | Maxime Labonne | Link |
Vision Language Models
Task | Class | Description | Author | Tutorial | Colab |
---|---|---|---|---|---|
Visual QA | SFTTrainer | Fine-tuning Qwen2-VL-7B for visual question answering on ChartQA dataset | Sergio Paniego | Link | |
SEO Description | SFTTrainer | Fine-tuning Qwen2-VL-7B for generating SEO-friendly descriptions from images | Philipp Schmid | Link |
Contributing
If you have a tutorial that you would like to add to this list, please open a PR to add it. We will review it and merge it if it is relevant to the community.
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