Hosting your Models and Datasets on Hugging Face Spaces using Streamlit
Hugging Face has integrated its model hosting platform, Hugging Face Spaces, with Streamlit, a tool for building web applications. This integration allows users to deploy and host their models and datasets directly from within Streamlit. The process involves using the `st.hf` component to connect to Hugging Face Spaces, making it easier to manage and share models. According to Hugging Face, this integration is aimed at simplifying model deployment and collaboration among rese
Hugging Face has integrated its model hosting platform, Hugging Face Spaces, with Streamlit, a tool for building web applications. This integration allows users to deploy and host their models and datasets directly from within Streamlit. The process involves using the `st.hf` component to connect to Hugging Face Spaces, making it easier to manage and share models. According to Hugging Face, this integration is aimed at simplifying model deployment and collaboration among researchers and developers.
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Why it matters: This matters because it streamlines the process of deploying and sharing AI models, making it more accessible for researchers and developers to collaborate and build upon each other's work.
Source: https://huggingface.co/blog/streamlit-spaces
This article was originally published at: https://huggingface.co/blog/streamlit-spaces