def METHOD_NAME(bento_model: str | Tag | Model) -> SklearnModel:
    """
    Load the scikit-learn model with the given tag from the local BentoML model store.
    Args:
        bento_model: Either the tag of the model to get from the store, or a BentoML `~bentoml.Model`
                     instance to load the model from.
    Returns:
        The scikit-learn model loaded from the model store or BentoML :obj:`~bentoml.Model`.
    Example:
    .. code-block:: python
        import bentoml
        sklearn = bentoml.sklearn.load_model('my_model:latest')
    """  # noqa
    if not isinstance(bento_model, Model):
        bento_model = get(bento_model)
    if bento_model.info.module not in (MODULE_NAME, __name__):
        raise NotFound(
            f"Model {bento_model.tag} was saved with module {bento_model.info.module}, not loading with {MODULE_NAME}."
        )
    model_file = bento_model.path_of(MODEL_FILENAME)
    return joblib.load(model_file)