English | Size: 620.37 MB
Genre: eLearning
MLOps packaging: HuggingFace and Azure Container Registry
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!
Learn Objectives
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
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