🤗 Inference Endpoints

🤗 Inference Endpoints offers a secure production solution to easily deploy any 🤗 Transformers, Sentence-Transformers and Diffusion models from the Hub on dedicated and autoscaling infrastructure managed by Hugging Face.

A Hugging Face Endpoint is built from a Hugging Face Model Repository. When an Endpoint is created, the service creates image artifacts that are either built from the model you select or a custom-provided container image. The image artifacts are completely decoupled from the Hugging Face Hub source repositories to ensure the highest security and reliability levels.

🤗 Inference Endpoints support all of the 🤗 Transformers, Sentence-Transformers and Diffusion tasks as well as custom tasks not supported by 🤗 Transformers yet like speaker diarization and diffusion.

In addition, 🤗 Inference Endpoints gives you the option to use a custom container image managed on an external service, for instance, Docker Hub, AWS ECR, Azure ACR, or Google GCR.

Documentation and Examples

• Security & Compliance
• Supported Transformers Task
• API Reference
• Autoscaling
• FAQ
• Help & Support

Guides

• Access the solution (UI)
• Create your first Endpoint
• Send Requests to Endpoints
• Update your Endpoint
• Advanced Setup (Instance Types, Auto Scaling, Versioning)
• Create a Private Endpoint with AWS PrivateLink
• Add custom Dependencies
• Create custom Inference Handler
• Use a custom Container Image
• Access and read Logs
• Access and view Metrics
• Change Organization or Account

Others

• Inference Endpoints Versions
• Serialization & Deserialization for Requests