MLOps with Hugging Face Spaces, Gradio and Github Actions /

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 1...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Pragmatic AI Solutions, [2022]
Edición:[First edition].
Temas:
Machine learning > Computer programs.
Apprentissage automatique > Logiciels.
Instructional films
Internet videos
Nonfiction films
Instructional films.
Nonfiction films.
Internet videos.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (1 video file (12 min.)) : sound, color.
Tiempo de Juego:00:12:00

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