I pre-trained a pytorch_model.bin from a pre-train script. Yet when I load it with the following codes, it raises UnicodeDecodeError. Codes are as follows: from transformers import BertTokenizer tokenizer = BertTokenizer.from_pretrained("/path/to/pytorch_model.bin") # Raise UnicodeDecodeError The traceback is: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/jupyter-raptor/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1811, in from_pretrained return cls._from_pretrained( File "/home/jupyter-raptor/.local/lib/python3.10/site-packages/transformers/tokenization_utils_base.py", line 1965, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "/home/jupyter-raptor/.local/lib/python3.10/site-packages/transformers/models/bert/tokenization_bert.py", line 218, in __init__ self.vocab = load_vocab(vocab_file) File "/home/jupyter-raptor/.local/lib/python3.10/site-packages/transformers/models/bert/tokenization_bert.py", line 121, in load_vocab tokens = reader.readlines() File "/opt/tljh/user/lib/python3.10/codecs.py", line 322, in decode (result, consumed) = self._buffer_decode(data, self.errors, final) UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 64: invalid start byte How can I resolve this issue? Versions: transformers 4.28.1 tokenizers 0.13.3 Python 3.10.10 Continue reading...
