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    3. MLOps workflow with Github Actions [Video]

    MLOps workflow with Github Actions [Video]

    Posted By: hill0
    Date: 5 Mar 2021 06:55:30
    MLOps workflow with Github Actions [Video]

    MLOps workflow with Github Actions
    English | 2021 | h264, yuv420p, 1280x720 | 44100 Hz, 2channels | Duration: 1h 5m | 286 MB

    Get started with MLOps and Github Actions to package a container with an ONNX model that does live inferencing with a Flask application. By using Azure ML, learn how to download the large ONNX model into the Github Action workflow, package it as a container and then push it to a container registry. For reference use the https://github.com/alfredodeza/flask-roberta repository
    Topics include:
    * Create a container that does live inferencing with Flask and the ONNX runtime
    * Package the model and verify it works locally
    * Setup a Github Action to authenticate to Azure ML and download a previously registered model
    * Build the new container as a Github Action, authenticate to Docker Hub or Github Packages
    * Push the new container to the Github registry or any other registry like Docker Hub

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