fastapi

Deploying Machine Learning Models Using FastAPI

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Moving machine learning models from Jupyter notebooks to production systems represents a critical transition that many data scientists struggle with. While you might have a model that achieves impressive accuracy on test data, that model provides zero business value until it’s accessible to applications, users, or other systems. FastAPI has emerged as the go-to framework … Read more

How to Deploy a PyTorch Model Using FastAPI and Docker

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Deploying machine learning models into production is a critical step in the lifecycle of any AI project. While building and training models is essential, their real value is realized when they are deployed and made accessible to end-users. In this article, we will walk through the process of deploying a PyTorch model using FastAPI and Docker. This combination … Read more