Serving a PyTorch Model with FastAPI and Docker

Author(s): Marcello Politi

Originally published on Towards AI.

Learn how to develop a complete Machine Learning Service
Photo by SpaceX on Unsplash

Working on personal Machine/Deep Learning projects is very enjoyable. In the evenings, in front of the laptop, you code things you like, you read interesting papers, and you don’t have any deadlines to meet. We all know that programming is only good if you are not doing it for work! U+1F602

Anyway, even if it is just a personal project, one of the greatest satisfactions comes when what you have done starts to be used by other people as well. So, there is a need for you to make your model available to others and to learn… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI