# Published Models Profiles: Model Creator, Data Scientist As a model creator or data scientist, the final step in AI Studio is to publish and deploy your model. This page explains the publish functionality within AI Studio. ## Introduction After publishing, your model is made available to the enrich pipeline library. The _Published Models_ tab has three primary screens: - **Published Models Overview:** Overview of all published and unpublished models of a project. - **Publish Model:** Publish a model to the Squirro Pipeline. - **Deploy Model:** Select the pipeline workflow to deploy a model to. This is only available for models that have been published to the Squirro Pipeline. ### Published Models Overview All published and unpublished models of a project are listed in the _Published Models_ screen, as shown in the screenshot below: [](https://s3.amazonaws.com/download.squirro.net/docs/technical/ai-studio/published-ov.png) ### Publish Model Clicking the Publish Model button will launch a modal window to configure the publish settings, as shown in the example screenshot below: [](https://s3.amazonaws.com/download.squirro.net/docs/technical/ai-studio/publish-as.png) To publish a model, several settings must be configured: - **Publish Model Name:** Name the model should appear as in the _Pipeline Library_. - **Description:** Description of the published model. - **Show labeled examples…** Option to display ground truth examples on which the model was trained in the _Pipeline Library_. - **Show validation data…** Option to display the validation metrics of the model in the _Pipeline Library_. ### Deploy Model You can deploy a model to a pipeline workflow by clicking the Deploy Model icon next to the three-dot menu. This will launch a modal window to select the pipeline workflow deployment settings, as shown in the example screenshot below: [](https://s3.amazonaws.com/download.squirro.net/docs/technical/ai-studio/deploy-model.png)