Hosting your Models and Datasets on Hugging Face Spaces using Streamlit
Hugging Face + Streamlit: Now you can deploy ML models without the DevOps headache.
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 knowHugging Face Spaces integration with Streamlit
Enables model and dataset hosting without dedicated infrastructure
Published October 5, 2021
Targets developer productivity and model accessibility
Hugging Face Spaces now supports Streamlit framework integration
Enables hosting of both models and datasets without separate infrastructure setup
Published October 2021 — early signal of Hugging Face platform expansion strategy
Targets ML developers and teams deploying custom models
Go to the source
Hugging Face Bloghuggingface.co