The outcome

Deploy a useful ML demonstration without exposing code, credentials, data, or uncontrolled costs.

Hugging Face is a open AI model, dataset, application, and inference platform. Discovering and evaluating open models and datasets, running hosted inference, collaborating through repositories, and publishing ML demos with Spaces. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Define the demo audience, inputs, outputs, model license, abuse cases, resource limits, and data-handling notice.

  2. 02

    Choose Gradio, Docker, or static HTML and select public, protected, or private visibility deliberately.

  3. 03

    Build locally with pinned dependencies, input validation, clear errors, and representative example data.

  4. 04

    Store credentials as Space secrets, never variables, and test cold starts, concurrency, timeouts, and large inputs.

  5. 05

    Review public source exposure, logs, analytics, hardware cost, moderation, and ownership before sharing the URL.

Working standard

What good use looks like.

  • Assume public Space code is visible.
  • Keep secrets out of commits.
  • Set cost and abuse guardrails.

Hub content comes from many publishers with different licenses and security postures. Review repositories and model cards, avoid unsafe remote code, use fine-grained tokens, and control Space visibility and costs.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.