MLOps packaging: HuggingFace and Docker

MLOps packaging: HuggingFace and Docker

by Alfredo Deza, Noah Gift
Released June 2022
Publisher(s): Pragmatic AI Labs
ISBN: 50143VIDEOPAIML

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Video description

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
Resources

Table of contents

  1. Lesson 1
    1. "Huggingface Docker Mlops"

Product information

  • Title: MLOps packaging: HuggingFace and Docker
  • Author(s): Alfredo Deza, Noah Gift
  • Release date: June 2022
  • Publisher(s): Pragmatic AI Labs
  • ISBN: 50143VIDEOPAIML