> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-1/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-1/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model.md).

# Register a Model

Register/Publish a DSL Model from the Model tab.

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>* *The currently supported model types are: **Sklearn (ML & CV)**, **Keras (ML & CV)**, and **PyTorch (ML)**.*
{% endhint %}

{% hint style="info" %}
*Check out the walk-through to Register a DSL model to the* [*Data Pipeline*](https://docs.bdb.ai/7.6/data-pipeline/components/ai-ml/dsl-model-and-script-runner) *(from the Model tab).*
{% endhint %}

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FJNRXY2PczEwkRNhiqtj8%2FRegister%20model.gif?alt=media&#x26;token=383ec7c4-7864-4c1f-8cb4-42637496975e" alt=""><figcaption><p>Registering a Model from the Model tab</p></figcaption></figure>

The user can deploy a saved DSL model to the Data Pipeline plugin by using the ***Model*** tab.

* Navigate to the ***Model*** tab.
* Select a model (unregistered model) from the list.
* Click the ***Register*** icon for the model.

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FQpj6yRrXVutNhXXVnqWl%2Fimage.png?alt=media&#x26;token=bd05785b-a4fa-4657-ba5c-88a78326acbe" alt=""><figcaption><p>Registering a model from the Model tab</p></figcaption></figure>

* The ***Deploy to Pipeline*** dialog box appears to confirm the action.
* Click the ***Yes*** option.

![](https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FmlF8rvW7sR20Qsdf1OVa%2Fimage.png?alt=media\&token=75c894ea-f4d7-4286-b169-38a6a0737c43)​

* The selected model gets published and deployed to the Data Pipeline (It disappears from the ***Unpublished*** model list).
* A notification message appears to inform the same.

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FGfawkZsGqSvfrnx5wmUX%2Fimage.png?alt=media&#x26;token=5cf808d6-a268-40a0-9895-bcec76653d03" alt=""><figcaption><p>A confirmation message after the Model gets registered.</p></figcaption></figure>

* The model gets listed under the ***Registered*** model list.

<figure><img src="https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2F7tME8TlEq78pVRLL6jaw%2Fimage.png?alt=media&#x26;token=9979f0d7-eefd-4e01-94b8-8dc0111bb075" alt=""><figcaption><p>The Model list displaying the Registered Models</p></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark>*&#x20;

* The ***Register*** option provided under the ***Notebook tab*** and ***Model tab*** perform the same task.​
* *Refer the **Data Science Lab Quick Start Flow** page to get an overview of the **Data Science Lab** module in nutshell.* [***Click here***](/data-science-lab-1/data-science-lab-quick-start-flow.md) *to get redirected to the quick start flow page.*
  {% endhint %}