whisper-large-v3

Catalog model officially supported by Inference Endpoints.

This model is from our Model Catalog, and comes with an optimized configuration. Deployment has been verified by Hugging Face.

$0.80 / h

per running replica

Let your agent deploy it. Instead of configuring this form, copy the prompt into your coding agent. With the hf CLI it picks the hardware, creates the endpoint, and verifies it responds, with the whole Hugging Face ecosystem at hand: Hub models, validated configs, GPUs, logs, metrics.

Amazon Web Services

Microsoft Azure

Google Cloud Platform

GPU CPU INF2

Nvidia L4

1x GPU · 24 GB 7x vCPUs · 30 GB

$0.8 / h

suggested Best performance/price ratio for selected model and accelerator.

Private Public Authenticated

Only you can access your endpoint, using a Hugging Face Token generated from your personal account.

Automatic Scale-to-Zero

Endpoints scaled to 0 replicas are not billed. They may take some time to scale back up once they start receiving requests again.

Number of replicas

Automatically scale the number of replicas within Min and Max based on compute usage. Min is always 0 if Scale-To-Zero is active.

Min Max

More options

Autoscaling Strategy

Control what type of trigger will cause your Endpoint to scale up.

Hardware Usage Pending Requests

Hardware Utilization Threshold (%)

A scale up event will be triggered if the average hardware utilisation (%) exceeds this threshold for more than 20 seconds.

Inference Engine

Container Arguments

Arguments passed to the container entrypoint.

optional

Container Command

Command executed in the container.

optional

Default Env

Environment variables that will be provided to your container during deployment.

Secret Env

Same as Default, but people with access to this endpoint will not be able to read these values after creation.

VPC Config

Check to activate and configure AWS PrivateLink

Use AWS PrivateLink

Commit Revision

Specify a revision commit hash for the Hugging Face repository

optional

Task

Select a supported task with the right inputs and outputs for your model pipeline, or define a custom task.

Download Pattern

Specify what file type(s) should be downloaded from the repository.