Hugging Face
$1,000 in GPU credits
Save up to $1,000
AI & DataThe GitHub of machine learning, host models, datasets, and spaces for ML development and deployment.
What you get
- $1,000 in Hugging Face GPU credits
- Model hosting and inference
- Dataset hosting
- Spaces for ML demos
- AutoTrain for fine-tuning
Who can claim it
AI/ML startup
Questions
Is Hugging Face free?
The Hugging Face Hub (model hosting, datasets, community) is free. GPU compute (Inference Endpoints, AutoTrain, Spaces with GPU) costs money. The $1,000 GPU credit covers compute costs for several months of development and deployment.
What is the Hugging Face Hub?
The Hub is the platform for hosting ML models, datasets, and Spaces. Think of it as GitHub for ML — version-controlled, collaborative, and open. 500K+ models are freely available for download and deployment.
Can I deploy models as APIs on Hugging Face?
Yes. Inference Endpoints deploy any Hub model as a production API with auto-scaling. Choose GPU type, configure scaling rules, and get an HTTPS endpoint. No Docker, no Kubernetes, no server management.
What is AutoTrain?
AutoTrain fine-tunes models on custom datasets without ML engineering. Upload labeled data, select a base model, and AutoTrain handles training, evaluation, and deployment. Supports text classification, NER, question answering, image classification, and more.
What are Hugging Face Spaces?
Spaces host interactive web applications (Gradio or Streamlit) on Hugging Face infrastructure. ML demos, data explorers, and model playgrounds are common use cases. Spaces can run on CPU (free) or GPU (paid).
Does Hugging Face support Llama and Mistral models?
Yes. Meta's Llama 3, Mistral AI's models, and all major open-source models are available on the Hub for download and deployment via Inference Endpoints.