English | Size: 588.51 MB
Genre: eLearning
MLOps packaging: HuggingFace and Docker Hub
Use automation to package models
Learn how to package a HuggingFace GPT2 model using automation with MLOps and pushing the result to Docker Hub. 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 Docker Hub
Example repository
Practical MLOps book
MLOps Maturity Model
Packaging ML models
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