> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab/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/~/changes/lSgdXe3Do34tLrgwmc0c/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/pass-model-values-in-postman.md).
# Pass Model Values in Postman
* Navigate to the Postman.
* Add a new ***POST*** request.
* Pass the URL with model name.
Passing the Model in the POST request under the Postman
* Provide required parameters under the ***Params*** tab:a. **Client Id**b. **Client Secret Key**c. **App Name**
Providing the required Parameters
* Open the ***Body*** tab.
* Select the ***raw*** option.
* Provide the input dataframe.
* Click the ***Send*** option.
* The response will appear below.
* You can save the response by using the ***Save Response*** option.
Getting Response based on the Model input
{% hint style="info" %}
*Please Note: The model registered as an API service can be easily consumed under various apps.*
{% endhint %}
