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Mar 17, 11 PM - Mar 21, 11 PM
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Publishing your Custom Translator model makes it available for use with the Azure AI Translator API. A project might have one or many successfully trained models. You can only publish one model per project; however, you can publish a model to one or multiple regions depending on your needs. For more information, see Translator pricing.
You can publish one model per project to one or multiple regions.
Select the Publish model
blade.
Select en-de with sample data and select Publish
.
Check the desired regions.
Select Publish
. The status should transition from Deploying to Deployed.
To replace a published model, you can exchange the published model with a different model in the same region:
Select the replacement model.
Select Publish
.
Select publish
once more in the Publish model
dialog window.
Events
Mar 17, 11 PM - Mar 21, 11 PM
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
Register nowTraining
Module
Introduction to Translator - Training
Translator is a cloud-based service that uses AI to reliably translate text and documents between languages in near real time. You can add multilanguage user experiences to your apps in 90 languages and dialects, along with free text translation with any operating system. Translator also has customizable translation models that can better understand industry-specific terminology or pronouns.
Certification
Microsoft Certified: Azure AI Engineer Associate - Certifications
Design and implement an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI.