Skip to content

Latest commit

 

History

History
11 lines (8 loc) · 467 Bytes

File metadata and controls

11 lines (8 loc) · 467 Bytes

Deploying your Machine Learning Model

This repository contains code and instructions on how to deploy your machine learning model using a production-ready API.

I am using FastAPI + Uvicorn to serve the model which creates automatic documentation using OpenAPI (Swagger) and ReDoc.

The Dockerfile is included if you would like to containerize the application and deploy it on the cloud.