PPlatformAppStores

Hugging Face Hub Models

Developer Tools

Hugging Face · Developer tools & code hosting

Best for: Developers, ML teams, researchers, and AI products that need a discoverable, versioned repository and distribution layer for machine-learning models.

Overview

Hugging Face Hub Models is a Git-backed public catalog where individuals and organizations publish machine-learning model repositories. Developers can build and publish versioned repositories containing model weights, configuration, metadata, and model cards, then distribute or consume models through the web catalog, Git, the huggingface_hub Python library, supported library integrations, and hosted or external inference options.

How to build & ship

  1. 1Create or sign in to a Hugging Face account and create a model repository under a user or organization
  2. 2Choose repository visibility and prepare model weights, configuration, metadata, and a model card
  3. 3Upload through the web interface, Git, huggingface_hub, or a supported library integration
  4. 4Add task, library, and license metadata and, where applicable, configure gated access or inference availability
  5. 5Validate loading with from_pretrained or the relevant client or library, then publish and maintain versions, branches, and documentation

Key APIs & SDKs

Hugging Face Hub web model catalog
huggingface_hub Python library and push_to_hub
Git-based model repositories
Transformers from_pretrained and Hub integration
Inference Providers and Inference API surface

Integration types

Connector
Workflow action

Authentication & security

  • Primary auth: Hugging Face user access token for authenticated Hub and API operations
  • Also supports: Browser account session, Organization-member access subject to repository permissions
  • Security review: Not required
  • No general pre-publication marketplace review requirement is stated for ordinary model uploads; visibility, gated access, tokens, repository permissions, and enterprise security features are documented separately.
  • No general manual review process is stated for ordinary model uploads. Publishers create repositories and upload content; gated-model and access-control mechanisms may apply to restricted models.
  • Not publicly specified for the Models marketplace; Enterprise pricing states that higher API rate limits are available without providing a marketplace-specific numeric limit.
Auth docs Store policies

Monetization

Free
Paid app
Usage-based
Onboarding
Not publicly specified
Commission
Not publicly specified
Merchant of Record
Not publicly specified

Pros & cons for builders

Pros

  • Large, searchable model catalog
  • Git-based versioning and collaboration
  • Broad library, provider, and inference integrations

Cons

  • Model quality, licensing, and safety vary by repository
  • Publishers must supply and maintain accurate metadata and documentation
  • Hosting, inference, storage, or compute costs can apply for private, higher-volume, or intensive use

Frequently asked questions

How do I get my app approved on Hugging Face Hub Models?

No general manual review process is stated for ordinary model uploads. Publishers create repositories and upload content; gated-model and access-control mechanisms may apply to restricted models.

What authentication does Hugging Face Hub Models use?

Hugging Face Hub Models apps primarily authenticate with Hugging Face user access token for authenticated Hub and API operations, also supporting Browser account session, Organization-member access subject to repository permissions.

How is Hugging Face Hub Models monetized?

Hugging Face Hub Models supports Free, Paid app, Usage-based. Typical commission: Not publicly specified. Onboarding fee: Not publicly specified.

Is a security review required to list on Hugging Face Hub Models?

No, Hugging Face Hub Models does not require a formal security review before listing.