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pythonnlpprotocol-buffershuggingface

Can't load from AutoTokenizer.from_pretrained - TypeError: duplicate file name (sentencepiece_model.proto)


I'm trying to load tokenizer and seq2seq model from pretrained models.

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("ozcangundes/mt5-small-turkish-summarization")

model = AutoModelForSeq2SeqLM.from_pretrained("ozcangundes/mt5-small-turkish-summarization")

But I got this error.

File ~/.local/lib/python3.8/site-packages/google/protobuf/descriptor.py:1028, in FileDescriptor.__new__(cls, name, package, options, serialized_options, serialized_pb, dependencies, public_dependencies, syntax, pool, create_key)
   1026     raise RuntimeError('Please link in cpp generated lib for %s' % (name))
   1027 elif serialized_pb:
-> 1028   return _message.default_pool.AddSerializedFile(serialized_pb)
   1029 else:
   1030   return super(FileDescriptor, cls).__new__(cls)

    TypeError: Couldn't build proto file into descriptor pool: duplicate file name (sentencepiece_model.proto)

I tried updating or downgrading the protobuf version. But I couldn't fix


Solution

  • I ran into the same issue when trying to use the microsoft/deberta-v3-small model. That is, at first it complained about not being able to find protobuf, and when I installed the latest, it asked for version 3.20.x. The issue happened after I downgraded to the lower version.

    Anyway, I was experimenting with it on a locally-running Jupyter notebook. Rerunning that cell didn't help. But when I chose to "Restart & Run All," the problem went away.

    Therefore, to solve your issue, I believe that you need to restart the Python instance where it cached the latest version of protobuf in the first place.

    Steps to reproduce:

    1. from transformers import AutoTokenizer
      
      tokenizer = AutoTokenizer.from_pretrained("some_model")
      
      # outcome: some error asking for `protobuf`
      
    2. pip install protobuf
      

      Rerun the code above; some error asking for [email protected]

    3. pip uninstall protobuf
      pip install protobuf==3.20
      

      Rerun the code above; same error as in OP

    4. Restart the Python instance (notebook, app, etc.); ✓ no error