Use automation to package models

Learn how to package a HuggingFace GPT2 model for text generation using automation with MLOps and pushing the result to Azure Container Registry. With just a little bit of Python and FastAPI you can have a powerful text generation API that is self-documented!

In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives:

• Create a FastAPI application with HuggingFace
• Interact with the model with HTTP from a container using FastAPI
• Containerize the application using GitHub Actions
• Create repository secrets to login and push to Azure Container Registry

• Example repository
• Practical MLOps book
• MLOps Maturity Model
• Packaging ML models