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huggingface-zerogpu

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About huggingface-zerogpu

H

huggingface-zerogpu

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU

huggingface-zerogpu is an agent skill of rules and patterns for building ML demos on Hugging Face Spaces that use ZeroGPU hardware. It applies to Gradio SDK Spaces only, because Docker and static Spaces cannot run on ZeroGPU. The skill explains how to use the @spaces.GPU decorator, how to tune the duration value and why the default of 60 seconds can block short tasks, how quota errors arise, and how process isolation and the CUDA availability model work. It also covers concurrency safety, since handlers run in parallel by default. Reference notes explain cold starts and worker reuse, why warming up a model at module scope does not carry over to requests, and why returning CUDA tensors can hang. A further note covers installing CUDA-dependent packages such as flash-attn and pinning torch helpers. The skill points to the official ZeroGPU documentation for current hardware and tier details, which change over time. It is part of Hugging Face's skills repository and is added to a compatible agent with the skills command. For general Gradio coding, a separate huggingface-gradio skill is recommended.

View huggingface-zerogpuAll AI Skills apps
Price
Free
Made by
huggingface
Category
AI Skills
Website
github.com/huggingface/skills/huggingface-zerogpu