transformers
huggingface/transformers/CLAUDE.md
.ai/AGENTS.md
How real projects brief Claude Code: the commands, conventions and warnings they put in CLAUDE.md.
huggingface/transformers/CLAUDE.md
.ai/AGENTS.md
huggingface/pytorch-image-models/CLAUDE.md
No summary in the file. Open it to read it.
huggingface/lerobot/CLAUDE.md
No summary in the file. Open it to read it.
huggingface/OpenEnv/CLAUDE.md
Guidance for Claude Code when working with this repository. OpenEnv uses Claude Code as the primary development tool. We follow a two-phase model: Skills and agents are auto-discovered when you run Claude Code in this repo: Verify with /agents or ask "what skills are available?" OpenEnv supports two development modes: When working in the main repository clone, direct edits are allowed: - Quick exploration and prototyping - Small fixes that don't need TDD workflow - Documentation updates TDD is activated…
huggingface/ai-deadlines/CLAUDE.md
No summary in the file. Open it to read it.
huggingface/leLab/CLAUDE.md
LeLab is a FastAPI + React web interface wrapping the LeRobot framework for the SO-101 leader/follower arm. It exposes teleoperation, dataset recording, calibration, replay, and training as HTTP/WebSocket endpoints, replacing LeRobot's CLI + keyboard-driven flows. The frontend (React + Vite) lives in frontend/. The built bundle in frontend/dist/ is committed and shipped inside the Python wheel as package data (frontend.init.py makes setuptools treat it as a package); lelab/server.py mounts it as StaticFiles at / so a single lelab process serves…
huggingface/context-course/projects/inference/CLAUDE.md
This is the llama.cpp inference optimization project. Use AGENTS.md as the hard rulebook. Keep this project separate from ../pre-training and ../post-training. The Claude Code-native pieces are: Recommended entrypoint: For a…
huggingface/context-course/projects/pre-training/CLAUDE.md
OpenCode is the canonical control plane for this repo. The Claude Code implementation is a secondary native integration. It should follow the same local workflow: - no hosted Autolab backend…
huggingface/physics-intern/CLAUDE.md
This is a multi-agent scaffolding system for autonomous scientific research in mathematics and theoretical physics. See README.md for overview, motivation, and design principles. GitHub Actions (.github/workflows/testing.yml) runs three commands on…
huggingface/hub-tutorials/.claude/CLAUDE.md
AI agent tutorial repository with scripts, notebooks, and presentation materials.
huggingface/physics-intern-skills/CLAUDE.md
In this repo we develop and maintain the core methodology and skills for PhysicsIntern, a framework for using AI agents to conduct physics research. When the user asks a "how…
A file Claude Code reads at the start of every session. It holds the commands, conventions and warnings the agent needs for this project.
At the repository root. Claude Code also reads CLAUDE.md files in subdirectories when it works there.
Build and test commands, the project's layout, conventions that aren't obvious from the code, and mistakes to avoid. Short files tend to work better than long ones.
Claude Code reads CLAUDE.md; most other agents read AGENTS.md. Many projects keep one and point the other at it.