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Hugging Face Spaces - AI Model Serving Tool

Overview

Hugging Face Spaces is a platform for hosting machine learning demo apps. It supports GPU acceleration, Docker, and custom Python environments for deploying interactive model demonstrations.

Key Features

  • Host interactive machine learning demo applications
  • GPU acceleration support for compute-intensive models
  • Docker-based deployments for custom runtime environments
  • Custom Python environments for package control
  • Web-accessible demos for model prototyping

Ideal Use Cases

  • Share interactive model demonstrations with users
  • Prototype models requiring GPU-backed inference
  • Deploy apps needing custom Docker runtimes
  • Create web UIs for machine learning models

Getting Started

  • Prepare your demo application code and dependencies
  • Choose runtime: Docker container or custom Python environment
  • Enable GPU acceleration if your model needs it
  • Deploy the app to a Hugging Face Space
  • Test the web demo and iterate on deployment settings

Pricing

Pricing information not disclosed in the provided data.

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
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