lint

Signed-off-by: Rafael Vasquez <[email protected]>

docs/runtimes/mlserver_custom.md

@@ -82,7 +82,6 @@ Given an `MLModel` implementation, we need to package it and all of its dependen
 
 > **Note**: The below snippet assumes the custom model module is named `custom_model.py` and the class is named `CustomMLModel`. Please make changes accordingly.
 
-
 ```dockerfile
 # TODO: choose appropriate base image, install Python, MLServer, and
 # dependencies of your MLModel implementation
@@ -115,7 +114,6 @@ CMD ["mlserver", "start", "${MLSERVER_MODELS_DIR}"]
 
 Alternatively, you can [use MLServer's helpers to build a custom Docker image](https://mlserver.readthedocs.io/en/latest/examples/custom/README.html#building-a-custom-image) containing your code.
 
-
 ## Custom ServingRuntime Template
 
 Once a container image containing MLServer, the custom runtime, and all of the required dependencies is built, you can use the following template to create a `ServingRuntime` using the image.
@@ -168,7 +166,6 @@ spec:
     runtimeManagementPort: 8001
     memBufferBytes: 134217728
     modelLoadingTimeoutMillis: 90000
-
 ```
 
 ### Debugging