MLOps Tools: MLflow and Hugging Face

Contents

• Introduction Introduction

  • MLOps platforms introduction

    2m 55s
• 1. Introduction to MLflow 1. Introduction to MLflow

  • Overview of MLflow

    4m 12s
  • Installing and using MLflow

    5m 52s
  • Introduction to the tracking UI

    8m 32s
  • Parameters, version, artifacts, and metrics

    10m 11s
• 2. MLflow Projects 2. MLflow Projects

  • (Locked)
    Working with MLflow projects

    4m 48s
  • (Locked)
    Create an MLflow project

    7m 47s
  • (Locked)
    Run projects from remote Git repositories

    3m 37s
  • (Locked)
    Connecting MLflow to Databricks

    5m 18s
• 3. MLflow Models 3. MLflow Models

  • (Locked)
    Components of the MLflow package

    5m 57s
  • (Locked)
    Use a registry with an MLflow model

    5m 5s
  • (Locked)
    Referencing artifacts with the API

    7m 57s
  • (Locked)
    Saving and serving MLflow models

    7m 59s
• 4. Introduction to Hugging Face 4. Introduction to Hugging Face

  • (Locked)
    What is Hugging Face?

    5m 32s
  • (Locked)
    Overview of the Hugging Face Hub

    4m 57s
  • (Locked)
    Introduction to the Hugging Face Hub

    5m 9s
  • (Locked)
    Using Hugging Face repositories

    7m 44s
  • (Locked)
    Using Hugging Face Spaces

    12m 32s
• 5. Introduction to Applied Hugging Face 5. Introduction to Applied Hugging Face

  • (Locked)
    Introduction to applied Hugging Face

    1m 36s
  • (Locked)
    Using GPU-enabled Codespaces

    8m 14s
  • (Locked)
    Using the Hugging Face CLI

    2m 19s
• 6. Using Hugging Face 6. Using Hugging Face

  • (Locked)
    Using the Model Hub

    7m 10s
  • (Locked)
    Downloading models

    7m 42s
  • (Locked)
    Working with models

    9m 34s
  • (Locked)
    Adding datasets

    6m 38s
  • (Locked)
    Using datasets

    10m 46s
  • (Locked)
    Working with datasets

    6m 44s
• 7. Packaging Hugging Face 7. Packaging Hugging Face

  • (Locked)
    Hugging Face and FastAPI

    4m 9s
  • (Locked)
    Containerizing Hugging Face

    3m 43s
  • (Locked)
    Running FastAPI with Hugging Face

    7m 30s
  • (Locked)
    CI/CD packaging with GitHub Actions

    9m 35s
• 8. Hugging Face and Azure ML Studio 8. Hugging Face and Azure ML Studio

  • (Locked)
    Hugging Face and Azure ML Studio

    4m 35s
  • (Locked)
    Registering a Hugging Face dataset on Azure

    7m 35s
  • (Locked)
    Registering a Hugging Face model on Azure

    5m 38s
  • (Locked)
    Inspecting a Hugging Face dataset on Azure

    2m 47s
  • (Locked)
    Azure ML Python SDK

    5m 26s
• 9. Hugging Face Automation 9. Hugging Face Automation

  • (Locked)
    Using GitHub Actions for model deployments

    5m 46s
  • (Locked)
    Using Azure Container Registry

    3m 33s
  • (Locked)
    Automating packaging with Azure Container Registry

    7m 5s
  • (Locked)
    Automating packaging Docker Hub

    5m 53s
• 10. Hugging Face with Azure Containers 10. Hugging Face with Azure Containers

  • (Locked)
    Create an Azure container application

    5m 3s
  • (Locked)
    Configure an Azure container application

    4m 56s
  • (Locked)
    Deploy Hugging Face to Azure

    12m 5s
  • (Locked)
    Troubleshooting container deployment

    4m 1s
• 11. Fine-Tuning and ONNX Exporting 11. Fine-Tuning and ONNX Exporting

  • (Locked)
    Introduction to fine-tuning theory

    2m 54s
  • (Locked)
    Performing fine-tuning

    8m 9s
  • (Locked)
    Introduction to ONNX and Hugging Face

    8m 50s
  • (Locked)
    Exporting Hugging Face models to ONNX

    3m 58s
• 12. Hugging Face Spaces 12. Hugging Face Spaces

  • (Locked)
    Introduction to Hugging Face Spaces

    4m 46s
  • (Locked)
    Hugging Face Spaces walkthrough

    6m 4s
  • (Locked)
    Deploying to Hugging Face Spaces

    3m 14s