NielsRogge/Transformers-Tutorials ? reverse-engineered prompt
Reverse engineered prompt
Build me a collection of easy to run Hugging Face Transformers tutorials in notebooks, focused on PyTorch.
I want it organized by model or use case, with simple demos for things like text classification, named entity recognition, object detection, image segmentation, document understanding, depth estimation, audio classification, and multimodal chat. Each notebook should show a clear real example, like inference first and fine tuning where it makes sense, so someone can actually learn by running it.
Make it beginner friendly, with short explanations in the notebooks, and keep it practical enough that I can open it in Colab and follow along. If you need current Hugging Face docs or model names, look them up online.
Are you gonna build this?
make sure you review the code using coderabbit