Introduction to Hugging Face Spaces Beginner

Hugging Face Spaces is a platform for hosting and sharing machine learning demo applications. It allows you to deploy interactive ML apps built with Gradio, Streamlit, or Docker - with free CPU hosting and optional GPU acceleration. Spaces is the easiest way to showcase your ML models to the world.

What are Spaces?

A Space is a Git repository hosted on Hugging Face that contains an application. When you push code to a Space, Hugging Face automatically builds and deploys your app, making it accessible via a public URL. Think of it as GitHub Pages for ML applications.

Key Benefit: Spaces is completely free for CPU-based applications. You get a public URL, automatic deployments on git push, and integration with the entire Hugging Face ecosystem of models and datasets - all without managing any infrastructure.

Supported Frameworks

Framework Best For Complexity
Gradio ML demos, model interfaces, quick prototypes Low - minimal code needed
Streamlit Data apps, dashboards, multi-page applications Low to Medium
Docker Custom environments, any framework, full control Medium to High
Static HTML Simple web pages, JavaScript apps Low

Hardware Options

Tier Hardware Cost Use Case
Free 2 vCPU, 16 GB RAM Free Small models, demos, prototypes
T4 Small NVIDIA T4 GPU, 16 GB VRAM $0.60/hr Medium models, image generation
T4 Medium NVIDIA T4 GPU, more CPU/RAM $0.90/hr Larger models, multi-model apps
A10G Small NVIDIA A10G GPU, 24 GB VRAM $1.05/hr Large models, LLMs
A100 Large NVIDIA A100 GPU, 80 GB VRAM $4.13/hr Very large models, fine-tuning

Key Features

  • Automatic Deployments: Push code via Git and your app rebuilds and redeploys automatically
  • HF Hub Integration: Load any model or dataset from the Hugging Face Hub with a single line of code
  • Secrets Management: Store API keys and tokens securely as environment variables
  • Persistent Storage: Attach persistent volumes for data that survives restarts
  • Embedding: Embed your Space in any website using an iframe
  • Sleep Mode: Free Spaces sleep after 48 hours of inactivity (wake on access)
  • Organizations: Create Spaces under organization accounts for team collaboration

Popular Spaces Examples

  • Image Generation: Stable Diffusion web UIs, DALL-E alternatives
  • Chatbots: Open-source LLM chat interfaces
  • Audio: Speech-to-text, music generation, voice cloning demos
  • Computer Vision: Object detection, image segmentation, style transfer
  • NLP: Text summarization, translation, sentiment analysis tools

Ready to Build?

In the next lesson, you will create your first Hugging Face Space, set up Git, and deploy your first application.

Next: Creating Spaces →
← Course Overview Creating Spaces →

Ready to Go Deeper?

Live instructor-led courses from our partners. Affiliate disclosure.

🧠

AI & ML Courses - 30% Off

Live instructor-led AI, machine learning, data science, and cloud courses for working professionals. Use code Limited30 at checkout.

Edureka
📊

DataCamp - AI & Data Science

Hands-on Python, machine learning, and AI courses with interactive exercises and real projects.

DataCamp
🎓

edX - Top AI Courses

University-level AI courses from MIT, Harvard, Stanford. Earn certificates that employers recognize.

edX