Guide to Using Hugging Face Inference Endpoints

Hugging Face offers the Inference Endpoints service to simplify the complex processes involved in model deployment, such as container packaging, infrastructure provisioning, API creation, and security configuration.

Users can deploy models from the Hugging Face Hub directly to managed infrastructure on their preferred cloud (such as AWS) with just a few clicks. Key features include the following:

• Easy deployment: Instantly create an endpoint by clicking the Deploy button on a model page.
• Flexible infrastructure configuration: Supports GPU instance selection, autoscaling configuration, and custom containers.
• Granular security options:
  • Public: Accessible to anyone over the internet without authentication.
  • Protected: Accessible only to users with a Hugging Face organization token.
  • Private: Restricted to access only within a VPC via AWS PrivateLink.

Once deployed, the endpoint is provided with a URL immediately after creation, and can be called and tested right away as an API using Python's requests library.