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# Model views

Model views help you inspect trained model artefacts.

Use them to understand how a model is structured, or to compare one trained model with another before deployment, review, or iteration.

## Views by concern

### Structure

[**Structure**](./model-structure-view) shows the internal structure of a trained model, including its modules, partitions, rules, bins, and summary metadata.

Use it when you need to understand how one model is organised.

### Comparison

[**Comparison**](./model-comparison-view) compares one trained model with another trained model.

Use it when you need to understand how two models differ, such as after changing training configuration, constraints, data, or model version.