# Model

- [Model Explainer](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/model-explainer.md): The user can explore the AutoML models using the Explainer dashboard with multiple charts that aim to explain the model specifications.
- [Share a Model](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/share-a-model.md): The share option for a model facilitates the user to share it across with other users and user groups. It also helps the user to exclude the privileges of a previously shared model.
- [Import Model](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/import-model.md): External models can be imported into the Data Science Lab and experimented inside the Notebooks.
- [Export to GIT](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/export-to-git.md): The user can migrate a Model across space or server using the Export to GIT feature.
- [Register a Model](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model.md): To register a model implies pushing the model into the Pipeline environment where it can be used for inferencing when Production data is read.
- [Unregister A Model](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/unregister-a-model.md): To unregister a model means to remove it from the Pipeline environment.
- [Register a Model as an API Service](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service.md)
- [Register a Model as an API](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/register-a-model-as-an-api.md)
- [Register an API Client](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/register-a-model-as-an-api-service/register-an-api-client.md)
- [Pass Model Values in Postman](https://docs.bdb.ai/data-science-lab-4/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)
- [AutoML Models ](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-tensorflow-and-pytorch-environment/model/automl-models.md): Top three AutoML models are enclosed within a folder and displayed on the Models list page containing the same name of Experiment created.


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