err mbart indobenchmark

err.py

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In[5], line 3
      1 idx = 2
      2 art = getArt(idx)
----> 3 summarizer(
      4     art,
      5     min_length=20,
      6     max_length=144,
      7 )

File ~/miniconda3/envs/tf/lib/python3.9/site-packages/transformers/pipelines/text2text_generation.py:265, in SummarizationPipeline.__call__(self, *args, **kwargs)
    241 def __call__(self, *args, **kwargs):
    242     r"""
    243     Summarize the text(s) given as inputs.
    244 
   (...)
    263           ids of the summary.
    264     """
--> 265     return super().__call__(*args, **kwargs)

File ~/miniconda3/envs/tf/lib/python3.9/site-packages/transformers/pipelines/text2text_generation.py:165, in Text2TextGenerationPipeline.__call__(self, *args, **kwargs)
    136 def __call__(self, *args, **kwargs):
    137     r"""
    138     Generate the output text(s) using text(s) given as inputs.
    139 
   (...)
    162           ids of the generated text.
    163     """
--> 165     result = super().__call__(*args, **kwargs)
    166     if (
    167         isinstance(args[0], list)
    168         and all(isinstance(el, str) for el in args[0])
    169         and all(len(res) == 1 for res in result)
    170     ):
    171         return [res[0] for res in result]

File ~/miniconda3/envs/tf/lib/python3.9/site-packages/transformers/pipelines/base.py:1074, in Pipeline.__call__(self, inputs, num_workers, batch_size, *args, **kwargs)
   1072     return self.iterate(inputs, preprocess_params, forward_params, postprocess_params)
   1073 else:
-> 1074     return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)

File ~/miniconda3/envs/tf/lib/python3.9/site-packages/transformers/pipelines/base.py:1082, in Pipeline.run_single(self, inputs, preprocess_params, forward_params, postprocess_params)
   1080 model_inputs = self.preprocess(inputs, **preprocess_params)
   1081 model_outputs = self.forward(model_inputs, **forward_params)
-> 1082 outputs = self.postprocess(model_outputs, **postprocess_params)
   1083 return outputs

File ~/miniconda3/envs/tf/lib/python3.9/site-packages/transformers/pipelines/text2text_generation.py:202, in Text2TextGenerationPipeline.postprocess(self, model_outputs, return_type, clean_up_tokenization_spaces)
    199         record = {f"{self.return_name}_token_ids": output_ids}
    200     elif return_type == ReturnType.TEXT:
    201         record = {
--> 202             f"{self.return_name}_text": self.tokenizer.decode(
    203                 output_ids,
    204                 skip_special_tokens=True,
    205                 clean_up_tokenization_spaces=clean_up_tokenization_spaces,
    206             )
    207         }
    208     records.append(record)
    209 return records

TypeError: decode() got an unexpected keyword argument 'clean_up_tokenization_spaces'