containerized-model-serving-with-fastapi-advanced-jun2022 | Model Serving with FastAPI | Application Framework library

containerized-model-serving-with-fastapi-advanced-jun2022 is a Python library typically used in Server, Application Framework applications. containerized-model-serving-with-fastapi-advanced-jun2022 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However containerized-model-serving-with-fastapi-advanced-jun2022 build file is not available. You can download it from GitHub.

The goal of this hands-on workshop is to create an end-to-end Machine Learning solution that recommends Spotify songs based on your personal music taste. To make your solution available for others, you build and containerize an API that acts as an entry point, using Docker and FastAPI. This way, you can make an impact with your Machine Learning algorithm on any machine in the world!. FastAPI lets you build robust and high-performance APIs that scale in production environments. Simplicity, speed, the possibility of asynchronous requests, and automatic doc generation are some advantages of FastAPI over Flask, another API web framework. A container is an isolated, portable computing environment. It contains everything an application needs to run, from binaries to dependencies to configuration files. The advantages of containerization are portability, efficiency, easy to use, scalability, lightweight.