title | titleSuffix | description | author | manager | ms.service | ms.topic | ms.date | ms.author |
---|---|---|---|---|---|---|---|---|
Deploy a custom summarization model |
Azure AI services |
Learn about deploying a model for Custom summarization. |
jboback |
nitinme |
azure-ai-language |
how-to |
12/19/2023 |
jboback |
Once you're satisfied with how your model performs, it's ready to be deployed and used to summarize text documents. Deploying a model makes it available for use through the prediction API.
After you've reviewed your model's performance and decided it can be used in your environment, you need to assign it to a deployment. Assigning the model to a deployment makes it available for use through the prediction API. It is recommended to create a deployment named production to which you assign the best model you have built so far and use it in your system. You can create another deployment called staging to which you can assign the model you're currently working on to be able to test it. You can have a maximum of 10 deployments in your project.
[!INCLUDE Deploy a model using Language Studio]
After you are done testing a model assigned to one deployment and you want to assign this model to another deployment you can swap these two deployments. Swapping deployments involves taking the model assigned to the first deployment, and assigning it to the second deployment. Then taking the model assigned to second deployment, and assigning it to the first deployment. You can use this process to swap your production and staging deployments when you want to take the model assigned to staging and assign it to production.
[!INCLUDE Swap deployments]
[!INCLUDE Delete deployment]
You can deploy your project to multiple regions by assigning different Language resources that exist in different regions.
[!INCLUDE Assign resource]
When unassigning or removing a deployment resource from a project, you will also delete all the deployments that have been deployed to that resource's region.
[!INCLUDE Unassign resource]
Check out the summarization feature overview.