philschmid/deep-learning-pytorch-huggingface
Collection of Jupyter Notebook tutorials for training and fine-tuning deep learning models with PyTorch and Hugging Face.
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This repository provides hands-on tutorials and examples for getting started with deep learning using PyTorch and Hugging Face libraries. It covers fine-tuning various LLMs including FLAN-T5, Falcon, Llama 2, Gemma, and Llama 3 with techniques like LoRA, DeepSpeed ZeRO, FSDP, and quantization. The tutorials also include RLHF training with DPO, instruction tuning, embedding model fine-tuning for RAG, and distributed training on TPUs.
Frequently asked
- What is philschmid/deep-learning-pytorch-huggingface?
- Collection of Jupyter Notebook tutorials for training and fine-tuning deep learning models with PyTorch and Hugging Face.
- Is deep-learning-pytorch-huggingface open source?
- Yes — philschmid/deep-learning-pytorch-huggingface is open source, released under the MIT license.
- What language is deep-learning-pytorch-huggingface written in?
- philschmid/deep-learning-pytorch-huggingface is primarily written in Jupyter Notebook.
- How popular is deep-learning-pytorch-huggingface?
- philschmid/deep-learning-pytorch-huggingface has 1.4k stars on GitHub.
- Where can I find deep-learning-pytorch-huggingface?
- philschmid/deep-learning-pytorch-huggingface is on GitHub at https://github.com/philschmid/deep-learning-pytorch-huggingface.