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Hugging Face

Hugging Face Spaces

Hugging Face Spaces lets you create and deploy ML-powered demos in minutes. Hugging Face’s documentation covers creating a Space, choosing an SDK, setting visibility and the hardware each Space runs on.

What Hugging Face Spaces does

  • Hosts ML demos and apps, each stored in a git repository like models and datasets on the Hub.
  • Offers Static, Gradio and Docker Spaces, chosen when you create one.
  • Sets visibility to public, protected or private, which changes who can see the code and reach the app.
  • Runs each Space on default hardware of 16GB RAM, 2 CPU cores and 50GB of non-persistent disk, with upgrades available.

What people use it for

  • Show a model

    Wrap a model in a small Gradio app so others can try it in a browser.

  • Share a prototype

    Deploy a demo from a git repository and send a link.

  • Keep a demo private

    Use private visibility while you test, then open it up.

Who it suits

  • Developers and researchers who want to publish a working demo without running servers.
  • Learners who want to see how other people’s ML demos are built, since public Spaces show their source.

Plans and access

Hugging Face says Static Spaces are free for everyone, while Gradio and Docker Spaces run on compute and need a paid plan to create. Free personal accounts in good standing can host up to 2 Gradio Spaces running on ZeroGPU. Protected visibility needs a PRO, Team or Enterprise plan. Plans change, so read the current documentation. Public Spaces expose their source, so never put secrets in the repository.

How to start

  1. 1Read the Spaces overview. Open
  2. 2Create a Space and choose an SDK.
  3. 3Deploy a small example and open its page.
  4. 4Check the visibility setting before you share the link.

Watch and learn

Videos from Hugging Face’s own channel, so you can learn it here. Nothing loads from YouTube until you press play. More on the Hugging Face channel.

  • Hugging Face · 2021

    Showcase your model demos with 🤗 Spaces

  • Hugging Face · 2021

    Build and Deploy a Machine Learning App in 2 Minutes

  • Hugging Face · 2022

    A Tour Through The Hugging Face Hub & A Hands on Guide To Gradio

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Common questions about Hugging Face Spaces

What is a Hugging Face Space?
A Space is a hosted app or demo, stored in a git repository on the Hugging Face Hub.
Is it free?
Static Spaces are free. Gradio and Docker Spaces need a paid plan to create, with a limited free option on ZeroGPU for personal accounts. Read the current documentation.
Who can see my code?
That depends on visibility. Public Spaces show source and app to everyone, protected hide the source, and private hide both.
What hardware does it run on?
By default 16GB RAM, 2 CPU cores and 50GB of non-persistent disk, per Hugging Face’s documentation.

Where this comes from

Written from the maker’s own pages, read on 2026-10-13. Plans, limits and features change, so the page you land on is the source.

Each tool links to its maker’s own page. They are listed so you know what exists and what to learn, not ranked, and they are not endorsements. We are not affiliated with these companies. A tool can change or be renamed; the page you land on is the source.