# Notebooks

### Selecting a Notebook

Here, as an example, we are selecting the BentoML Notebook. You can find it using the search field on the Spawn Ai-WorkStation Page.

{% hint style="info" %}
**Note:**

The full walkthrough of spawning an Ai-WorkStation has been given at our [Spawn WorkStation Guide](https://computationaldocs.zeblok.com/zeblok-computational-1/spawn-workstation) for your convenience.
{% endhint %}

![Figure 1: BentoML Notebook](/files/hs5nISR9CCvFlPEPODNe)

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

{% hint style="info" %}
**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.
{% endhint %}

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

![Figure 2: Run all Cells](/files/-MfWL7bZ56GLDV7o7FtO)

![Figure 3: Name of newly Trained Model](/files/-MfWLbRCL4dkT67aBOM5)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://computationaldocs.zeblok.com/info/1.2.0/ai-api/notebooks.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.