def METHOD_NAME(self, y, delayed=True):
    """
    Convert the data back to the original representation.
    In case unknown categories are encountered (all zeros in the
    one-hot encoding), ``None`` is used to represent this category.
    Parameters
    ----------
    X : dask_cudf Series
        The string representation of the categories.
    delayed : bool (default = True)
        Whether to execute as a delayed task or eager.
    Returns
    -------
    X_tr : dask_cudf.Series
        Distributed object containing the inverse transformed array.
    """
    if self._get_internal_model() is not None:
        return self._inverse_transform(
            y, delayed=delayed, output_collection_type="cudf"
        )
    else:
        msg = (
            "This LabelEncoder instance is not fitted yet. Call 'fit' "
            "with appropriate arguments before using this estimator."
        )
        raise NotFittedError(msg)