Trained a model w. Keras in Python w. custom loss function. How can I deploy it for inference with Tensorflow Serving – aka how to define a custom loss function or just disable that part?

I wrote a custom model using a custom loss function. The layers
are all basic keras layers but the loss function is a custom. How
do I move this to a high performance serving scenario? I don’t need
to do training – just prediction. Suggestions? Tutorials?