Pragmatic Ai – MLOps packaging: HuggingFace and Docker

Pragmatic Ai – Mlops Packaging Huggingface and Docker-iLLiTERATE
English | Tutorial | Size: 588.51 MB

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

Resources

PEARSON OOWNS MAANY EDU BRAANDS INKLUDINNG
ADDISON-WESLEY PEACHPIT PRENTICE-HALL ECOLLEGE
AND MAANY MORE!

WEE ASUMME NO LIIABILLITY FUR A WROONG SPELING
COZ WEE ARRE A NON (iL)LiTERATE GRUP!!

TANNKS TU THE LITERATE ASKII FRIIEND!!

1DL
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