# HuggingFace Zerogpu

> AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses @spaces.GPU, configuring pythonversion or requirements.txt for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, gr.State semantics across the worker boundary, no torch.compile (use AoTI instead), CUDA wheel-only builds (no nvcc at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, @spaces.GPU, or the spaces Python package, or hits ZeroGPU-specific code errors like PicklingError across the worker boundary, illegal duration, or flash-attn wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on import spaces or @spaces.GPU in code.

## Facts
- Page: https://tashan.sh/capability/skill-huggingface-huggingface-zerogpu
- tashan id: skill:huggingface/huggingface-zerogpu
- Source: https://github.com/huggingface/skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 96.0
- Freshness: 92.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r huggingface-zerogpu ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-22 by tashan (https://tashan.sh) from public evidence. Scorer s5.