Stores & marketplaces

Hugging Face

Share models, datasets and demo Spaces with the machine learning community.

Visit huggingface.co
Cost
Free

Free to use. No paid tier is needed to list or post.

Verdict
works

Works for AI products: models, datasets and demo Spaces reach the machine learning community.

Difficulty
Easy

Mostly self-serve. Sign up and post, with light checks.

Effort
Medium

About 5 to 10 hours a month.

First result
1 to 2 weeks

A rough range for one person working on it part-time.

Payoff
Compounds

keeps growing while you keep at it.

Best for

AI models, datasets and demos.

Not for

Non-AI products.

Pros

  • Reaches the machine learning community
  • Free Spaces for demos

Cons

  • Only fits AI products
  • Crowded

The full guide

Last verified 2026-10-30

Links checked 2026-10-30 · All links answer

01What it is and who is there

Hugging Face is the main hub for sharing machine learning models, datasets and demo apps called Spaces. Researchers, engineers and builders browse it to find models and try demos. For an AI product, a public model, dataset or Space puts you in front of the ML community, and Spaces let people try a demo in the browser.

02Cost and what you actually pay for

Public models, datasets and basic Spaces are free. Paid hardware for Spaces and other paid features exist; check current pricing.

03Is it right for you?

It fits AI products with a model, dataset or demo to share. It fits poorly for non-AI products, and for AI products that cannot share anything publicly. A demo Space works well even for closed products if it shows the core idea.

04Before you start

  • A Hugging Face account and organization page with your product link.
  • A model card or dataset card that follows Hugging Face's documentation guidance, including license and limitations.
  • A demo idea that works in a few seconds.

05Step-by-step: how to distribute here

  1. Publish a model, dataset or Space with a complete card.
  2. Make the Space's first screen show the result immediately.
  3. Link your product from the card or Space.
  4. Share it on X, LinkedIn and ML communities.
  5. Update cards with benchmarks you can reproduce.

06What to post or submit

Space description:

Try [what it does]: upload [input], get [output]. Built by [product]. Full version: [link].

07Common mistakes and do-nots

  • Do not publish models without license and limitations.
  • Do not claim benchmarks you cannot reproduce.
  • Do not leave a Space broken or asleep without a note.

08How to measure it

  • Track downloads, likes and Space visits.
  • Track clicks from the Space to your product.
  • A realistic test: one month after release.

09Time budget

  • Before: 4 to 15 hours.
  • Ongoing: 1 to 2 hours a month.

10Pair it with

11Sources

Sources