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Rewrite model class descriptions (#479)

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docs/clearml_sdk/model_sdk.md
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@ -5,9 +5,11 @@ title: Model
The following page provides an overview of the basic Pythonic interface to ClearML Models. The following page provides an overview of the basic Pythonic interface to ClearML Models.
ClearML provides the following classes to work with models: ClearML provides the following classes to work with models:
* `Model` - represents a ClearML model, regardless of any task connection. * `Model` - Represents a ClearML model, regardless of any task connection. Use this class to programmatically access and manage the ClearML model store.
* `InputModel` - represents an existing ClearML model to be used in an experiment. * `InputModel` - Represents an existing ClearML model to be used in an experiment. Use this class to load a model from ClearML's model store or to import a pre-trained
* `OutputModel` - represents an experiment's output model (training results). An OutputModel is always connected to a [task](../fundamentals/task.md). model from an external resource to use as an experiment's initial starting point.
* `OutputModel` - Represents an experiment's output model (training results). An OutputModel is always connected to a [task](../fundamentals/task.md),
so the models are traceable to experiments.
## Output Models ## Output Models