huggingface-spaces
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.
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Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Hugging Face Spaces
- 0. Getting ready
- 1. What a Space is
- Hardware tiers
- 2. Look for an existing demo first
- 3. Decide SDK and hardware
- Sourcing the model
- 4. Create the Space
Hugging Face Spaces host machine-learning applications. There are 1M+ today; each Space is a git repo. This skill covers creating, building, debugging, and maintaining them. Before anything else: 1. Check the hf CLI is installed: which hf. If not, pip install -U huggingfacehub. 2. Check the user is logged in: hf auth whoami. If not, run hf auth login — it prints a URL and a one-time code; ask the user to open the URL and enter the code, then login completes automatically (OAuth, no token needed). Alternatively, pass a write-scoped token from https://huggingface.co/settings/tokens with --token. 3. Note whoami's canPay and isPro flags — they gate hardware choices below. A free (isPro=False) account can only host Static Spaces and up to 2 ZeroGPU Spaces. The hf-cli skill teaches an agent every hf command and is the recommended companion to this one. Install it with hf skills add hf-cli (add --claude --global to install for Claude Code as well, user-level). A Space is a git repo with three possible SDKs: Gradio — most Spaces. Python, fast iteration, supports ZeroGPU. Docker — arbitrary container. Use when you need a non-Python stack or a pre-built template (Streamlit, Argilla, Shiny, e
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- Source repository
- huggingface/skills
- Source file
- skills/huggingface-spaces/SKILL.md
- Fixed revision
- 25910b3d0ba31a2ba102f901cdc9e008c278a69c
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Author: huggingface/skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-09T16:01:02.743Z.
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