Hugging Face Spaces - AI Model Serving Tool
Overview
Hugging Face Spaces is a platform for hosting machine-learning demo applications. It supports GPU acceleration, Docker deployments, and custom Python environments for interactive model serving.
Key Features
- Host machine-learning demo applications
- GPU acceleration for compute-intensive demos
- Docker-based deployments for custom runtimes
- Custom Python environments to manage dependencies
Ideal Use Cases
- Share interactive model demos with users
- Prototype and validate model user interfaces
- Demonstrate model capabilities for research or teaching
- Quickly iterate on model-powered web demos
Getting Started
- Create a new Space in the Hugging Face Spaces dashboard
- Select runtime: Docker or a custom Python environment
- Add your application code and dependency files
- Enable GPU acceleration if your demo requires it
- Deploy the Space and share access with users
Pricing
Pricing not provided in the supplied data. Check Hugging Face for current plans and limits.
Key Information
- Category: Model Serving
- Type: AI Model Serving Tool