Model in a Container

In this post, I will describe a recipe for ML Software Engineers who want to publish their ML model built with Python using FastAPI and containerize it using Docker. This is one of the steps towards making the model ready to be deployed to the production environment, whether it is on-premise or on the cloud.
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