src/transformers/models/marian/tokenization_marian.py/MarianTokenizer/batch_decode
class MarianTokenizer:    def batch_decode(self, sequences, **kwargs):
        """
        Convert a list of lists of token ids into a list of strings by calling decode.

        Args:
            sequences (:obj:`Union[List[int], List[List[int]], np.ndarray, torch.Tensor, tf.Tensor]`):
                List of tokenized input ids. Can be obtained using the ``__call__`` method.
            skip_special_tokens (:obj:`bool`, `optional`, defaults to :obj:`False`):
                Whether or not to remove special tokens in the decoding.
            clean_up_tokenization_spaces (:obj:`bool`, `optional`, defaults to :obj:`True`):
                Whether or not to clean up the tokenization spaces.
            use_source_tokenizer (:obj:`bool`, `optional`, defaults to :obj:`False`):
                Whether or not to use the source tokenizer to decode sequences (only applicable in sequence-to-sequence
                problems).
            kwargs (additional keyword arguments, `optional`):
                Will be passed to the underlying model specific decode method.

        Returns:
            :obj:`List[str]`: The list of decoded sentences.
        """
        return super().batch_decode(sequences, **kwargs)