site/content/en/docs/workspace/models.md
To deploy the models, you will need to install the necessary components using {{< ilink "/docs/administration/community/advanced/installation_automatic_annotation" "Semi-automatic and Automatic Annotation guide" >}}. To learn how to deploy the model, read {{< ilink "/docs/guides/serverless-tutorial" "Serverless tutorial" >}}.
The Models page contains a list of deep learning (DL) models deployed for semi-automatic and automatic annotation. To open the Models page, click the Models button on the navigation bar. The list of models is presented in the form of a table. The parameters indicated for each model are the following:
Framework the model is based onNameType:
detector - used for automatic annotation
(available in {{< ilink "/docs/annotation/auto-annotation/ai-tools#detectors" "detectors" >}}
and {{< ilink "/docs/annotation/auto-annotation/automatic-annotation" "automatic annotation" >}})interactor - used for semi-automatic shape annotation
(available in {{< ilink "/docs/annotation/auto-annotation/ai-tools#interactors" "interactors" >}})tracker - used for semi-automatic track annotation
(available in {{< ilink "/docs/annotation/auto-annotation/ai-tools#trackers" "trackers" >}})reid - used to combine individual objects into a track
(available in {{< ilink "/docs/annotation/auto-annotation/automatic-annotation" "automatic annotation" >}})Description - brief description of the modelLabels - list of the supported labels (only for the models of the detectors type)