Table sanity check

Author: jboback

articles/ai-services/language-service/conversational-language-understanding/how-to/use-containers.md

@@ -88,15 +88,15 @@ docker pull mcr.microsoft.com/azure-cognitive-services/language/clu:latest
 
 After creating the exported model in the section above, users will have to run the container in order to download the deployment package that was created specifically for their exported models. 
 
-|Placeholder                 |Value                                                                                                                                 |Format or example|
-|----------------------------|--------------------------------------------------------------------------------------------------------------------------------------|-----------------|
-|**{API_KEY}**               |The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal.                |xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx|  
-|**{ENDPOINT_URI}**          |The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal.                |`https://<your-custom-subdomain>.cognitiveservices.azure.com`  |
-|**{IMAGE_TAG}**             |The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used.  |latest  |
-|**{LOCAL_CLU_PORT}**        |Port number assigned for the container in local machine.                                                                              |5000 |
-|**{LOCAL_MODEL_DIRECTORY}** |Absolute directory in host machine where exported models will be saved in.                                                            |`C:\usr\local\myDeploymentPackage` |
-|**{PROJECT_NAME}**          |Name of the project that the exported model belongs to                                                                                |myProject |
-|**{EXPORTED_MODEL_NAME}**   |Exported model to be downloaded                                                                                                       |myExportedModel |
+| Placeholder                 | Value                                                                                                                                 |Format or example                                              |
+|-----------------------------|---------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------|
+| **{API_KEY}**               | The key for your Language resource. You can find it on your resource's **Key and endpoint** page, on the Azure portal.                | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx                              |  
+| **{ENDPOINT_URI}**          | The endpoint for accessing the API. You can find it on your resource's **Key and endpoint** page, on the Azure portal.                | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
+| **{IMAGE_TAG}**             | The image tag representing the language of the container you want to run. Make sure this matches the `docker pull` command you used.  | latest                                                        |
+| **{LOCAL_CLU_PORT}**        | Port number assigned for the container in local machine.                                                                              | 5000                                                          |
+| **{LOCAL_MODEL_DIRECTORY}** | Absolute directory in host machine where exported models will be saved in.                                                            | `C:\usr\local\myDeploymentPackage`                            |
+| **{PROJECT_NAME}**          | Name of the project that the exported model belongs to                                                                                | myProject                                                     |
+| **{EXPORTED_MODEL_NAME}**   | Exported model to be downloaded                                                                                                       | myExportedModel                                               |
 
 ```bash
 docker run --rm -it -p {LOCAL_CLU_PORT}:80 \