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When using punctfix with tokenizers version 0.12.0, the following error occurs:
Stacktrace
return self.fixer.punctuate(model_input)\n File "/usr/local/lib/python3.8/site-packages/punctfix/inference.py", line 177, in punctuate\n word_prediction_list = self.populate_word_prediction_with_labels(chunks, word_prediction_list)\n File "/usr/local/lib/python3.8/site-packages/punctfix/inference.py", line 111, in populate_word_prediction_with_labels\n output = self.pipe(" ".join(chunk_text))\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 189, in call\n return super().call(inputs, **kwargs)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/base.py", line 1027, in call\n return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/base.py", line 1035, in run_single\n outputs = self.postprocess(model_outputs, **postprocess_params)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 242, in postprocess\n grouped_entities = self.aggregate(pre_entities, aggregation_strategy)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 334, in aggregate\n return self.group_entities(entities)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 457, in group_entities\n entity_groups.append(self.group_sub_entities(entity_group_disagg))\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 408, in group_sub_entities\n "word": self.tokenizer.convert_tokens_to_string(tokens),\n File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_fast.py", line 535, in convert_tokens_to_string\n return self.backend_tokenizer.decoder.decode(tokens)\nTypeError: Can't convert ['du'] to PyString\n", "message": "Can't convert ['du'] to PyString"}
The text was updated successfully, but these errors were encountered:
When using punctfix with tokenizers version 0.12.0, the following error occurs:
Stacktrace
return self.fixer.punctuate(model_input)\n File "/usr/local/lib/python3.8/site-packages/punctfix/inference.py", line 177, in punctuate\n word_prediction_list = self.populate_word_prediction_with_labels(chunks, word_prediction_list)\n File "/usr/local/lib/python3.8/site-packages/punctfix/inference.py", line 111, in populate_word_prediction_with_labels\n output = self.pipe(" ".join(chunk_text))\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 189, in call\n return super().call(inputs, **kwargs)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/base.py", line 1027, in call\n return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/base.py", line 1035, in run_single\n outputs = self.postprocess(model_outputs, **postprocess_params)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 242, in postprocess\n grouped_entities = self.aggregate(pre_entities, aggregation_strategy)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 334, in aggregate\n return self.group_entities(entities)\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 457, in group_entities\n entity_groups.append(self.group_sub_entities(entity_group_disagg))\n File "/usr/local/lib/python3.8/site-packages/transformers/pipelines/token_classification.py", line 408, in group_sub_entities\n "word": self.tokenizer.convert_tokens_to_string(tokens),\n File "/usr/local/lib/python3.8/site-packages/transformers/tokenization_utils_fast.py", line 535, in convert_tokens_to_string\n return self.backend_tokenizer.decoder.decode(tokens)\nTypeError: Can't convert ['du'] to PyString\n", "message": "Can't convert ['du'] to PyString"}
The text was updated successfully, but these errors were encountered: