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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.
ClearML provides the following classes to work with models:
* `Model` - represents a ClearML model, regardless of any task connection.
* `InputModel` - represents an existing ClearML model to be used in an experiment.
* `OutputModel` - represents an experiment's output model (training results). An OutputModel is always connected to a [task](../fundamentals/task.md).
* `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. Use this class to load a model from ClearML's model store or to import a pre-trained
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