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.openpublishing.redirection.json

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articles/ai-services/cognitive-services-virtual-networks.md

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ms.service: azure-ai-services
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ms.custom: devx-track-azurepowershell, devx-track-azurecli
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ms.topic: how-to
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ms.date: 06/13/2024
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ms.date: 01/31/2025
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---
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articles/ai-services/commitment-tier.md

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- ignite-2023
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ms.service: azure-ai-services
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ms.topic: conceptual
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ms.date: 01/22/2024
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ms.date: 01/31/2025
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---
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# Purchase commitment tier pricing

articles/ai-services/containers/azure-kubernetes-recipe.md

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ms.service: azure-ai-language
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az acr create --resource-group cogserv-container-rg --name pattyregistry --sku Basic
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```
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Save the results to get the **loginServer** property. This will be part of the hosted container's address, used later in the `language.yml` file.
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Save the results to get the **loginServer** property. This is part of the hosted container's address, used later in the `language.yml` file.
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```azurecli-interactive
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}
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```
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1. Sign in to your container registry. You need to login before you can push images to your registry.
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1. Sign in to your container registry. You need to log in before you can push images to your registry.
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1. Push the image to your container registry. This can take a few minutes.
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If you get an `unauthorized: authentication required` error, sign in with the `az acr login --name <your-container-registry-name>` command.
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## Get language detection Docker image
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1. Pull the latest version of the Docker image to the local machine. This can take a few minutes. If there is a newer version of this container, change the value from `1.1.006770001-amd64-preview` to the newer version.
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1. Push the image to your container registry. This can take a few minutes.
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This step can take a few minutes. The result is:
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{
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Language-frontend deployment settings|Purpose|
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|--|--|
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|Line 32<br> `image` property|Image location for the frontend image in your Container Registry<br>`<container-registry-name>.azurecr.io/language-frontend:v1`|
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|Line 44<br> `name` property|Container Registry secret for the image, referred to as `<client-secret>` in a previous section.|
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|Line 44<br> `name` property|Container Registry secret for the image. Referred to as `<client-secret>` in a previous section.|
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|Line 78<br> `image` property|Image location for the language image in your Container Registry<br>`<container-registry-name>.azurecr.io/language:1.1.006770001-amd64-preview`|
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|Line 95<br> `name` property|Container Registry secret for the image, referred to as `<client-secret>` in a previous section.|
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|Line 95<br> `name` property|Container Registry secret for the image. Referred to as `<client-secret>` in a previous section.|
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|Line 91<br> `apiKey` property|Your Language service resource key|
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|Line 92<br> `billing` property|The billing endpoint for your Language service resource.<br>`https://westus.api.cognitive.microsoft.com/text/analytics/v2.1`|
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articles/ai-services/containers/container-faq.yml

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title: FAQ for Azure AI containers
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| `BillingEndpointBusy` | The billing endpoint is currently busy. Check the `Retry-After` value and wait for this period to end before you make more requests. |
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| `ContainerUseUnauthorized` | The provided API key isn't authorized for use with this container. You're likely using a gated container, so make sure your Azure subscription ID is approved by submitting an [online request](https://aka.ms/csgate). |
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| `[ERROR] Failed to download: context deadline exceeded` | The model file download request to our servers timed out. Make sure you have a strong internet connection to download all required files within one hour. Model downloads apply to Text Translation and some Speech service containers. |
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| `The provided license path was not found. Please ensure a volume is mounted and a directory exists at the location specified by Mounts:License` | **Disconnected containers only.** There is no license file stored locally at the location specified in your docker run command. You might have mounted the license volume incorrectly. Be sure to check your local file system and provide a valid filepath to the desired local storage location for the license file using the -v argument in your docker run command. |
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| `The provided license path was not found. Please ensure a volume is mounted and a directory exists at the location specified by Mounts:License` | **Disconnected containers only.** There is no license file stored locally at the location specified in your docker run command. You might have mounted the license volume incorrectly. Be sure to check your local file system and provide a valid filepath to the desired local storage location for the license file using the `-v` argument in your docker run command. |
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| `Unknown` | The server is currently unable to process billing requests. |
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- question: How do I get support?

articles/ai-services/containers/container-reuse-recipe.md

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#Customer intent: As a potential customer, I want to know how to configure containers so I can reuse them.
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Any `docker run` examples in this document assume a Windows console with a `^` line continuation character. Consider the following for your own use:
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* If you are using an operating system other than Windows, or a console other than Windows console, use the correct console/terminal, folder syntax for mounts, and line continuation character for your console and system. Because the Azure AI services container is a Linux operating system, the target mount uses a Linux-style folder syntax.
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* If you are using an operating system other than Windows, or a console other than Windows console, use the correct console/terminal, folder syntax for mounts, and line continuation character for your console and system. Because the Azure AI services container is a Linux operating system, the target mount uses a Linux-style folder syntax.
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* `docker run` examples use the directory off the `c:` drive to avoid any permission conflicts on Windows. If you need to use a specific directory as the input directory, you might need to grant the docker service permission.
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You can also sign in with `docker login` if you are assigned a service principal.
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articles/ai-services/language-service/concepts/model-lifecycle.md

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---
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articles/ai-services/language-service/custom-named-entity-recognition/quickstart.md

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ms.service: azure-ai-language
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ms.date: 12/19/2023
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ms.date: 01/31/2025
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ms.author: jboback
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ms.custom: language-service-custom-ner, mode-other
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zone_pivot_groups: usage-custom-language-features

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