# Register a Model as an API Service

## Register Model as an API Service

To publish a Model as an API Service, the user needs to follow the three steps given-below:

Step-1 **Register a Model as an API**

Step-2 **Register an API Client**

Step-3 **Pass the Model values in the Postman**

{% hint style="info" %}
*Check-out the below given video to understand the Register Model as an API Service functionality.*
{% endhint %}

{% embed url="<https://www.youtube.com/watch?v=iaT8F5W5Rb8>" %}

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

* *The terms **Publish** and **Unpublish** are replaced in the latest release to **Register** and **Unregister**, but the functionality remains the same.​*
* *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-2/data-science-lab-quick-start-flow.md) *to get redirected to the quick start flow page.*
  {% endhint %}


---

# 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://docs.bdb.ai/data-science-lab-2/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service.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.
