Actuent
huggingface.co

Hugging Face

Hugging Face is a collaborative platform where developers, researchers, and companies share and discover machine learning models, datasets, and applications. The site hosts millions of models across text, vision, audio, and multimodal domains, along with datasets and Spaces—interactive demos built with Gradio or Streamlit. Users can browse, search, and use models directly in the browser, fine‑tune them, or deploy them via inference endpoints. The platform also offers storage buckets, enterprise support, and tools for training, monitoring, and sharing AI projects.

55
Partly agent-ready
Agent-readiness score out of 100
  • ✓ Clear description of the site
  • ✓ Several pages described
  • ✓ Actions agents can take
  • ✓ 3 or more actions
  • ○ Publishes its own LAWP (/.well-known/lawp.json)
  • ○ Actions agents can execute
  • ○ Business details (address, hours, phone)

How to improve this score

Up to +45 points:
+15 · Publishes its own LAWP (/.well-known/lawp.json)
Publish your starter lawp.json at /.well-known/lawp.json. WordPress: install the Actuent plugin. Cloudflare: use the one-click Worker.
+15 · Actions agents can execute
Give an action an endpoint on your domain so agents can do it for the user, not just link to it. See LAWP Actions.
+15 · Business details (address, hours, phone)
Add schema.org business data to your homepage (the starter snippet). Google uses it too.
Starter lawp.json for huggingface.co
Made from what Actuent already knows. Edit it, then publish it at https://huggingface.co/.well-known/lawp.json. Check it with the LAWP Checker, or edit it in the LAWP Generator.
{
  "lawp_version": "0.3",
  "domain": "huggingface.co",
  "name": "Hugging Face",
  "language": "en",
  "pages": {
    "/": {
      "title": "Hugging Face – The AI community building the future",
      "content": "Hugging Face is a collaborative platform where developers, researchers, and companies share and discover machine learning models, datasets, and applications. The site hosts millions of models across text, vision, audio, and multimodal domains, along with datasets and Spaces—interactive demos built with Gradio or Streamlit. Users can browse, search, and use models directly in the browser, fine‑tune them, or deploy them via inference endpoints. The platform also offers storage buckets, enterprise support, and tools for training, monitoring, and sharing AI projects."
    },
    "/pricing": {
      "title": "Pricing – Hugging Face",
      "content": "The pricing page presents Hugging Face’s free and paid plans for model hosting, inference, and enterprise services. It details usage limits, storage options, and support tiers, allowing users to choose a plan that fits their needs—from hobbyist projects to large‑scale deployments."
    },
    "/terms-of-service": {
      "title": "Terms of Service – Hugging Face",
      "content": "Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference En"
    }
  },
  "actions": [
    {
      "id": "search_models",
      "name": "Search Models",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "search",
        "models",
        "find"
      ],
      "description": "Search for models by name, task, or language."
    },
    {
      "id": "view_model",
      "name": "View Model",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "view",
        "model",
        "details"
      ],
      "description": "Open a model’s detail page to see its description, usage, and download links."
    },
    {
      "id": "download_model",
      "name": "Download Model",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "download",
        "model",
        "files"
      ],
      "description": "Download a model’s files for local use."
    },
    {
      "id": "create_space",
      "name": "Create Space",
      "input": {
        "type": "text",
        "required": false
      },
      "intent": [
        "create",
        "space",
        "demo"
      ],
      "description": "Create a new interactive demo (Space) using Gradio or Streamlit."
    },
    {
      "id": "view_space",
      "name": "View Space",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "view",
        "space",
        "demo"
      ],
      "description": "Open a Space to interact with a demo or application."
    },
    {
      "id": "sign_up",
      "name": "Sign Up",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "sign",
        "up",
        "register"
      ],
      "description": "Create a new Hugging Face account."
    },
    {
      "id": "log_in",
      "name": "Log In",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "log",
        "in",
        "authenticate"
      ],
      "description": "Log into an existing Hugging Face account."
    },
    {
      "id": "view_pricing",
      "name": "View Pricing",
      "input": {
        "type": "text",
        "required": false
      },
      "intent": [
        "pricing",
        "compare",
        "plans"
      ],
      "description": "Open the pricing page to compare plans."
    },
    {
      "id": "create_inference_endpoint",
      "name": "Create Inference Endpoint",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "create",
        "endpoint",
        "inference"
      ],
      "description": "Deploy a model as a REST API endpoint for inference."
    },
    {
      "id": "view_dataset",
      "name": "View Dataset",
      "input": {
        "type": "text",
        "required": true
      },
      "intent": [
        "view",
        "dataset",
        "details"
      ],
      "description": "Open a dataset’s page to see its contents and download options."
    },
    {
      "id": "upload_dataset",
      "name": "Upload Dataset",
      "input": {
        "type": "text",
        "required": false
      },
      "intent": [
        "upload",
        "dataset",
        "add"
      ],
      "description": "Upload a new dataset to the Hugging Face hub."
    },
    {
      "id": "contact",
      "name": "Contact",
      "description": "Send a message to Hugging Face",
      "intent": [
        "contact",
        "message",
        "email",
        "get in touch"
      ],
      "input": {
        "type": "object",
        "required": true,
        "fields": [
          {
            "name": "name",
            "type": "string",
            "required": true
          },
          {
            "name": "email",
            "type": "email",
            "required": true
          },
          {
            "name": "message",
            "type": "string",
            "required": true
          }
        ]
      }
    }
  ]
}
Starter schema.org snippet
Replace the example values, then paste into your homepage's <head>.
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Hugging Face",
  "url": "https://huggingface.co",
  "telephone": "+00 0000 0000",
  "priceRange": "€€",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Street 1",
    "postalCode": "0000",
    "addressLocality": "City",
    "addressCountry": "DK"
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "09:00",
      "closes": "17:00"
    }
  ]
}
</script>

What AI agents can do here

Search Models
Search for models by name, task, or language.
searchmodelsfind
View Model
Open a model’s detail page to see its description, usage, and download links.
viewmodeldetails
Download Model
Download a model’s files for local use.
downloadmodelfiles
Create Space
Create a new interactive demo (Space) using Gradio or Streamlit.
createspacedemo
View Space
Open a Space to interact with a demo or application.
viewspacedemo
Sign Up
Create a new Hugging Face account.
signupregister
Log In
Log into an existing Hugging Face account.
loginauthenticate
View Pricing
Open the pricing page to compare plans.
pricingcompareplans
Create Inference Endpoint
Deploy a model as a REST API endpoint for inference.
createendpointinference
View Dataset
Open a dataset’s page to see its contents and download options.
viewdatasetdetails
Upload Dataset
Upload a new dataset to the Hugging Face hub.
uploaddatasetadd

Pages

Hugging Face – The AI community building the future /
Hugging Face is a collaborative platform where developers, researchers, and companies share and discover machine learning models, datasets, and applications. The site hosts millions of models across text, vision, audio, and multimodal domains, along with datasets and Spaces—inter
Pricing – Hugging Face /pricing
The pricing page presents Hugging Face’s free and paid plans for model hosting, inference, and enterprise services. It details usage limits, storage options, and support tiers, allowing users to choose a plan that fits their needs—from hobbyist projects to large‑scale deployments
Terms of Service – Hugging Face /terms-of-service
Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Pr

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Last updated 16 Sep 2026

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