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Merge remote-tracking branch 'BaherAbdullah/patch-75' into baher-update-2
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articles/cognitive-services/language-service/custom-named-entity-recognition/how-to/call-api.md

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@@ -30,11 +30,26 @@ See the [application development lifecycle](../overview.md#application-developme
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## Deploy your model
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Go to your project in [Language studio](https://aka.ms/custom-extraction).
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Deploying a model hosts it, and makes it available for predictions through an endpoint.
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[!INCLUDE [Deploy a model using Language Studio](../includes/deploy-model-language-studio.md)]
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When a model is deployed, you will be able to test the model directly in the portal or by calling the API associated with it.
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If you deploy your model through the Language Studio, your `deployment-name` is `prod`.
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> [!NOTE]
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> You can only have ten deployment names
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1. Go to your project in [Language studio](https://aka.ms/custom-extraction).
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2. From the left panel, select **Deploy model**.
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3. Click on **Add deployment** to submit a new deployment job.
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:::image type="content" source="../../custom-named-entity-recognition/media/deploy-model.png" alt-text="run-inference" lightbox="../../custom-named-entity-recognition/media/deploy-model.png":::
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4. In the window that appears, you can create a new deployment name or override an existing one. Then, you can add a trained model to this deployment name.
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:::image type="content" source="../../custom-named-entity-recognition/media/add-deployment.png" alt-text="run-inference" lightbox="../../custom-named-entity-recognition/media/add-deployment.png":::
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### Delete deployment
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To delete a deployment, select the deployment you want to delete and select **Delete deployment**
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> [!TIP]
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> You can test your model in Language Studio by sending samples of text for it to classify.
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