def get_model(get_ensemble_config: dict) -> AnomalibModule:
    """Return model prepared for tiled ensemble training."""
    config = get_ensemble_config

    return get_ensemble_model(
        config["TrainModels"]["model"],
        normalization_stage=config["normalization_stage"],
        input_size=config["tiling"]["tile_size"],
    )
Return model prepared for tiled ensemble training.
tests/unit/pipelines/tiled_ensemble/conftest.py