Zeblok Computational
1.2.7
1.2.7
  • About Zeblok Computational
  • Quick Start
  • Core Concepts
  • ISV Onboarding Guide
  • Create an Account
    • Individual User
    • Inviting User
  • Sign In
  • Spawn Ai-WorkStation
  • Spawn MicroService
  • Spawn Orchestration Add-on
  • Video Tutorial
  • FAQS
  • Ai-APIᵀᴹ Engine
    • Introduction
    • Notebooks
      • Installing different frameworks
    • Build Models
      • ZBL Command Line Interface
        • How to use the CLI
    • Deploy
  • DATA AND METRICS
    • DataLake
      • Datasets
    • Monitoring
      • Resource level monitoring
  • MORE
    • Manage Account
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    • IAM
      • Roles
      • Usergroup
    • Admin Guide
      • Menu
      • Dashboard
      • IAM (Identity Access Management)
      • Organizations
      • DataCenters
      • Plans
      • NameSpaces
      • WorkStations
        • Customised Workstations
      • MicroServices
      • Resource Manager
    • SDK (version 1.1.0)
  • RELEASES
    • Release notes
    • Known Issues
    • Common Errors
  • Support
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  1. Ai-APIᵀᴹ Engine

Notebooks

Ai-APIᵀᴹ Engine: Notebooks

PreviousIntroductionNextInstalling different frameworks

Last updated 1 year ago

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Selecting a Notebook

Here, as an example, we are selecting the BentoML Notebook, User can choose any diffrent notebook from AppStore or select a Juypter notebook and migrate their model code into it using feature.

Note:

The full walkthrough of spawning an Ai-WorkStation has been given at our for your convenience.

Taking BentoML as the Notebook and following all the steps from the Spawn Workstation Guide will give you an Ai-WorkStation ready to open.

Note:

The final result of this example will get us a notebook which can identify the breed of an animal upon uploading the image of an animal.

Next Step is to start and open the notebook and run all cells to get a newly trained model.

If onboarding their own model using Jupyter Notebook, User need to select and install framework before performing the Run please follow for details

farmework installation
Dataset
Spawn WorkStation Guide
Figure 1: BentoML Notebook
Figure 2: Run all Cells