> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-4/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-4/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model.md).

# Register a Model

To register a model implies pushing the model into the Pipeline environment where it can be used for inferencing when Production data is read.

{% 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="success" %}
*Check out the walk-through to Register a DSL model to the Data Pipeline (from the Model tab).*
{% endhint %}

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2F2Ekbr0ba9JgpVnEd2Las%2FRegistering%20a%20Model_RSP.mp4?alt=media&token=6a0f7ed0-a52d-465f-a1ed-74f789746ecd>" %}
***Registering a Model from the Model tab***
{% endembed %}

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://4082649235-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2FC3wzmhRER2tt9Q0hGCBS%2Fimage.png?alt=media&amp;token=b8aaea3a-5d31-4e10-a360-1da1e0e2514f" alt=""><figcaption><p><em><strong>Register option for a model on the Model tab</strong></em></p></figcaption></figure>

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

&#x20;      ![](https://4082649235-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2FrViHZILPouVJO7EATVy4%2Fimage.png?alt=media\&token=10c28cde-a15f-447c-94c8-1de533930e06)​

* A notification message appears to inform the same.

<figure><img src="https://4082649235-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2FAAvOfOiwTzXcfLlTKt6A%2Fimage.png?alt=media&amp;token=4f01c64c-c94f-474e-9eab-4baf0ebf4e1a" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The registered model gets published to the Data Pipeline (It disappears from the **Unregistered** model list).*
{% endhint %}

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

<figure><img src="https://4082649235-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F1QeOywZjV1cHo55cMW8u%2Fuploads%2F5LIlFD5buDr91v9d4l7V%2Fimage.png?alt=media&amp;token=ac0884fe-91e6-45ea-85d5-7d9f91811bef" alt=""><figcaption></figcaption></figure>

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

* The ***Register*** option provided under the ***Notebook tab*** and ***Model tab*** performs the same task.​ The Registered Models can be accessed within the DS Lab Model Runner&#x20;
* *Refer to the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module.*&#x20;
  {% endhint %}