Hosting your Models and Datasets on Hugging Face Spaces using Streamlit

📰 Hugging Face Blog

Host models and datasets on Hugging Face Spaces using Streamlit for visualization and demo-building

intermediate Published 5 Oct 2021
Action Steps
  1. Load Hugging Face models and build UIs using Streamlit
  2. Visualize datasets and build demos for machine learning models
  3. Host Streamlit applications in Hugging Face Spaces
Who Needs to Know This

Data scientists and machine learning engineers can benefit from hosting their models and datasets on Hugging Face Spaces using Streamlit, as it allows for easy visualization and demo-building, making it easier to share and collaborate with team members

Key Insight

💡 Streamlit allows for easy visualization and demo-building of machine learning models and datasets on Hugging Face Spaces

Share This
💡 Host models & datasets on Hugging Face Spaces using Streamlit for easy visualization & demo-building
Read full article → ← Back to News