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Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

Hugging Face + Streamlit: Now you can deploy ML models without the DevOps headache.

Reporting by Hugging Face Blog 1 min brief
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The KeyNews take

Why it matters

Hugging Face integrated Streamlit into Spaces, lowering the barrier for developers to deploy and share AI models and datasets. This democratizes model hosting for the broader AI community.

The key facts

8 to know

  1. Hugging Face Spaces integration with Streamlit

  2. Enables model and dataset hosting without dedicated infrastructure

  3. Published October 5, 2021

  4. Targets developer productivity and model accessibility

  5. Hugging Face Spaces now supports Streamlit framework integration

  6. Enables hosting of both models and datasets without separate infrastructure setup

  7. Published October 2021 — early signal of Hugging Face platform expansion strategy

  8. Targets ML developers and teams deploying custom models

Go to the source

Hugging Face Bloghuggingface.co

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