Hugging Face
On the Hugging Face Hub, every model, dataset and Space carries tags, licenses, a last-modified date and public download and like counts. Snapshotting that metadata into the Lake on each sync turns rolling counters into a history, so ML teams can track adoption of what they publish and vet the open models and datasets they plan to depend on.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token, None
02Data
What you can sync.
- Models
- Datasets
- Spaces
- Downloads
- Likes
Load Hugging Face models into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Hugging Face data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
- No credentials
Public endpoints answer without credentials; for the rest, Hugging Face uses an access token.
04Questions
Questions you can answer.
Once Hugging Face data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How did monthly downloads and likes for each model we publish change after its last release?
- Which candidate open models carry a license our legal team allows, and how recently were they updated?
- Which of our datasets are referenced by the most public models?
- Which Spaces in our organization have not been updated in six months?
05How it works
How it works in DataMind.
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Pick Hugging Face.
Open Lake, pick Hugging Face in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Hugging Face API docs.
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Answer a few questions.
The AI reads the Hugging Face documentation, then asks which credentials you will use, which data to sync (for example models and datasets), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Hugging Face data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Hugging Face.
Sources teams join with Hugging Face in the Warehouse, each one connected the same way.
