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Hugging Face Hub

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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.

The record

This is what the machine sees: the exact JSON-LD an agent receives for this listing.

WebSite
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  "dateModified": "2026-08-27T03:10:32Z",
  "description": "Hugging Face Hub is a cloud-hosted model registry and collaboration platform for storing, sharing, and deploying machine learning assets.",
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  "mainEntityOfPage": "https://decisioninsights.ai/projects/hugging-face-hub/",
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    "name": "Hugging Face"
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  "name": "Hugging Face Hub",
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  "url": "https://huggingface.co/"
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What we add

Topic graph

A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.

AI infrastructure https://decisioninsights.ai/term/ai-infrastructure/ Artificial Intelligence https://decisioninsights.ai/term/ai-artificial-intelligence/ Cybersecurity https://decisioninsights.ai/term/cybersecurity/ and 12 more

Counted facts

A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.

Related projects Hugging Face Datasets, Hugging Face Transformers, Hugging Face Accelerate, Hopsworks, Text Generation Inference, Artifact Hub, JupyterHub, CredHub Related organizations Comet ML, Inc., Civitai, Scale AI, Nebius, ClearML, Hopsworks, BentoML, cloudcover