---
updatedAt: 2025-06-17T21:18:29.000Z
agentTools:
  projectIndex: https://documentation.picsellia.com/llms.txt
---

# 1. Pre-requisite

In order to monitor your externally deployed model on Picsellia you have to configure:

* A `Model`on Picsellia
* A `ModelVersion` related
* Add a `LabelMap` for your `ModelVersion`
* A `Deployment`in monitoring mode with your `ModelVersion`attached.

## 1. Variables

Let's say you have a *PyTorch Classification Model* called *Silicon-Valley-Classification* with a version called *Deployed* predicting the classes *HOT-DOG* & *NOT-HOT-DOG* with the `Labelmap`:

```json
{
  '0': 'HOT-DOG',
  '1': 'NOT-HOT-DOG'
}
```

## 2. Configuration

### A. Create your Picsellia `Model`

<Image align="center" className="border" border={true} src="https://files.readme.io/1d984c7-image.png" />

<Image align="center" className="border" border={true} src="https://files.readme.io/2110141-image.png" />

### B. Create your `ModelVersion`

<Image align="center" className="border" border={true} src="https://files.readme.io/0f3220e-image.png" />

> 🚧 You need to have the exact same order in the `Labelmap` of your custom `ModelVersion` and the `Labelmap` configured on Picsellia

Now you should see a new version in your `ModelVersion`overview:

<Image align="center" className="border" border={true} src="https://files.readme.io/d69aca7-image.png" />

It's time to deploy your `ModelVersion`

<Image align="center" className="border" border={true} src="https://files.readme.io/8645727-image.png" />

You should select the *Monitoring only mode*

<Image align="center" className="border" border={true} src="https://files.readme.io/c8dc9de-image.png" />

And now you should be good to go:

<Image align="center" className="border" border={true} src="https://files.readme.io/6f2a14d-image.png" />