Bug in ErnieMConverter Class

[YiandLi]

Using -m-large version, but met a bug in class ErnieMConverter(Converter):

Traceback (most recent call last):
  File "/Users/liuyilin/Downloads/NLP_project/Kaggle_PIIDD/src/run.py", line 23, in <module>
    ie = UIEPredictor(model='uie-m-large', schema=schema, device="cuda" if torch.cuda.is_available() else "cpu")
  File "/Users/liuyilin/Downloads/NLP_project/Kaggle_PIIDD/uie_pytorch/uie_predictor.py", line 146, in __init__
    self._prepare_predictor()
  File "/Users/liuyilin/Downloads/NLP_project/Kaggle_PIIDD/uie_pytorch/uie_predictor.py", line 160, in _prepare_predictor
    self._tokenizer = ErnieMTokenizerFast.from_pretrained(
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 2017, in from_pretrained
    return cls._from_pretrained(
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 2249, in _from_pretrained
    tokenizer = cls(*init_inputs, **init_kwargs)
  File "/Users/liuyilin/Downloads/NLP_project/Kaggle_PIIDD/uie_pytorch/tokenizer.py", line 477, in __init__
    super().__init__(
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/transformers/tokenization_utils_fast.py", line 114, in __init__
    fast_tokenizer = convert_slow_tokenizer(slow_tokenizer)
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/transformers/convert_slow_tokenizer.py", line 1342, in convert_slow_tokenizer
    return converter_class(transformer_tokenizer).converted()
  File "/Users/liuyilin/Downloads/NLP_project/Kaggle_PIIDD/uie_pytorch/tokenizer.py", line 576, in __init__
    from transformers.utils import sentencepiece_model_pb2 as model_pb2
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/transformers/utils/sentencepiece_model_pb2.py", line 91, in <module>
    _descriptor.EnumValueDescriptor(
  File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/google/protobuf/descriptor.py", line 789, in __new__
    _message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates