Notebooks

Ai-APIᵀᴹ Engine: Notebooks

Selecting a Notebook

Here, as an example, we are selecting the BentoML Notebook. The user can choose any different notebook from AppStore or select a Jupyter notebook and migrate their model code into it using the Dataset feature.

Note:

The full walkthrough of spawning an AI-WorkStation has been given in our Spawn WorkStation Guide for your convenience.

Figure 1: BentoML Notebook

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 that 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.

Figure 2: Run all Cells

If onboarding their own model using Jupyter Notebook, users need to select and install the framework before performing the Run. Please follow the farmework installation for details