formatting issues

Author: msakande

articles/ai-foundry/model-inference/how-to/use-image-to-text.md

@@ -14,6 +14,8 @@ ms.custom: references_regions, tool_generated
 zone_pivot_groups: azure-ai-inference-samples
 ---
 
+# How to generate images with Azure AI model inference
+
 This article explains how to generate images with _image_ models deployed to Azure AI model inference in Azure AI services. Some models have unique parameters or data format requirements.
 
 ## Prerequisites
@@ -22,51 +24,49 @@ To use image models in your application, you need:
 
 [!INCLUDE [how-to-prerequisites](../includes/how-to-prerequisites.md)]
 
-* An image model deployment. If you don't have one, see [Add and configure models to Azure AI services](../../how-to/create-model-deployments.md) to add an image model to your resource.
-
-  * This article uses `Mistral OCR`.
+* An image model deployment. If you don't have one, see [Add and configure models to Azure AI model inference](create-model-deployments.md) to add an image model to your resource. This article uses the Mistral OCR model.
 
 ## Use image model
 
 1. Authenticate using API key. For serverless API endpoints, deploy the model to generate the endpoint URL and an API key to authenticate against the service. In this example, the endpoint and key are strings holding the endpoint URL and the API key. The API endpoint URL and API key can be found on the **Deployments + Endpoint** page once the model is deployed.
 
-  If you're using bash:
-
-  ```
-  export AZURE_API_KEY = "<your-api-key>"
-  ```
-
-  If you're in powershell:
-
-  ```
-  $Env:AZURE_API_KEY = "<your-api-key>"
-  ```
-
-  If you're using Windows command prompt:
+    If you're using bash:
+  
+    ```
+    export AZURE_API_KEY = "<your-api-key>"
+    ```
+  
+    If you're in powershell:
   
-  ```
-  export AZURE_API_KEY = "<your-api-key>"
-  ```
+    ```
+    $Env:AZURE_API_KEY = "<your-api-key>"
+    ```
+  
+    If you're using Windows command prompt:
+    
+    ```
+    export AZURE_API_KEY = "<your-api-key>"
+    ```
 
 1. Run a basic code sample. Paste the following code into a shell.
 
-> [!NOTE]
-> Different image models accept different data formats. In this example, `Mistral OCR 25.03` supports only base64 data. Document url or image url isn't supported.
-
-  ```http
-  curl --request POST \
-    --url https://<your_serverless_endpoint>/v1/ocr \
-    --header 'Authorization: <api_key>' \
-    --header 'Content-Type: Application/json' \
-    --data '{
-    "model": "mistral-ocr-2503",
-    "document": {
-      "type": "document_url",
-      "document_name": "test",
-      "document_url": "data:application/pdf;base64,JVBER..."
-    }
-  }'
-  ```
+  > [!NOTE]
+  > Different image models accept different data formats. In this example, `Mistral OCR 25.03` supports only base64 data. Document url or image url isn't supported.
+  
+    ```http
+    curl --request POST \
+      --url https://<your_serverless_endpoint>/v1/ocr \
+      --header 'Authorization: <api_key>' \
+      --header 'Content-Type: Application/json' \
+      --data '{
+      "model": "mistral-ocr-2503",
+      "document": {
+        "type": "document_url",
+        "document_name": "test",
+        "document_url": "data:application/pdf;base64,JVBER..."
+      }
+    }'
+    ```
 
 ## Model specific requirements