🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Hugging Face Transformers is a framework that defines machine-learning models for text, vision, audio, video, and multimodal data, supporting both training and inference. Developers use it to work with pretrained models and connect them to training frameworks, inference engines, and other modeling libraries. The catalogue add-ons provide instructions and a skill for working with Transformers.
These files are huggingface/transformers's own configuration. They tell Claude Code, Codex, GitHub Copilot and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
.github/copilot-instructions.md A 773 tok AGENTS.md A 5 tok CLAUDE.md A 5 tok .ai/skills/add-or-fix-type-checking/SKILL.md A 41 tok