MLOps with Hugging Face Spaces, Gradio and Github Actions / Noah Gift.

Format:

Video

Contributor:

Gift, Noah, presenter.

Pragmatic AI Solutions (Firm), publisher.

Language:

English

Subjects (All):

Machine learning--Computer programs.

Machine learning.

Physical Description:

1 online resource (1 video file (12 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pragmatic AI Solutions, [2022]

Summary:

Learn to use MLOPs methodology to deploy a Hugging Face Spaces application using Github Actions. 00:00 Intro 00:35 Project Overview of Hugging Face Spaces, Gradio and Github Actions 01:23 Hugging Face Overview 01:52 Creating Hugging Face Spaces 02:28 Creating Github Repo and Github Codespaces with 16 Cores 03:37 Setup Gradio Application and Python Structure 06:12 Installing Tensorflow and running Gradio application with Github Codespaces browser 06:48 Using Hugging Face Token 07:26 Setup Github Actions Secrets with Token from Hugging Face 08:00 Setup Github Actions that pushes to Hugging Face Spaces 09:30 Testing Deployed Hugging Face Spaces Application.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1322442574

Publisher Number:

05282022VIDEOPAIML