Python 遭遇'；UnicodeDecodeError'；带变压器包的负荷模型

我从谷歌下载了经过预训练的文件，并使用官方纸条将其转换为名为“pytorch_model.bin”的torch verion：

然后我将“bert_config.json”重命名为“config.json”，并将“pytorch_model.bin”、“config.json”和“vocab.txt”放入同一文件夹“torch_bert_model”，以便使用“from_pertained（）”方法加载此torch模型：

运行此代码时，出现“UnicodeDecodeError”：

Traceback (most recent call last):
File "c:/Users/hap/Desktop/Projects/cgt/BERT.py", line 47, in <module>
  model = TFBertModel.from_pretrained(model_file)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site- packages\transformers\modeling_tf_utils.py", line 529, in from_pretrained
  config, model_kwargs = cls.config_class.from_pretrained(
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 311, in from_pretrained
  config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 354, in get_config_dict
  config_dict = cls._dict_from_json_file(resolved_config_file)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 436, in _dict_from_json_file
  text = reader.read()
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\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

回溯（最近一次呼叫最后一次）：
文件“c:/Users/hap/Desktop/Projects/cgt/BERT.py”，第47行，在
model=TFBertModel.from_pretrained（model_文件）
文件“C:\Users\hap\AppData\Local\Programs\Python\38\lib\site-packages\transformers\modeling\u tf\u utils.py”，第529行，from\u pretrained
config，model_kwargs=cls.config_class.from_pretrained(
文件“C:\Users\hap\AppData\Local\Programs\Python\38\lib\site packages\transformers\configuration\u utils.py”，第311行，from\u pretrained
config\u dict，kwargs=cls.get\u config\u dict（预先训练的模型名称或路径，**kwargs）
文件“C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site packages\transformers\configuration\u utils.py”，第354行，在get\u config\u dict中
config\u dict=cls.\u dict\u来自\u json\u文件（已解析的\u config\u文件）
文件“C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site packages\transformers\configuration\u utils.py”，第436行，位于json文件的目录中
text=reader.read（）
文件“C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\codecs.py”，第322行，在decode中
（结果，消耗）=自身缓冲区解码（数据，自身错误，最终）
UnicodeDecodeError:“utf-8”编解码器无法解码位置64中的字节0x80:无效的开始字节

我哪里出了问题？非常感谢您的建议。谢谢

current_dir = os.path.dirname(__file__)
model_folder = os.path.join(current_dir, 'torch_bert_model')
# configer_file = os.path.join(model_folder, 'config.json')
vocab_file = os.path.join(model_folder, 'vocab.txt')
model_file = os.path.join(model_folder, 'pytorch_model.bin')

tokenizer = BertTokenizer.from_pretrained(vocab_file)
# bert_config = BertConfig.from_json_file(configer_file)
model = TFBertModel.from_pretrained(model_file) # Automatically loads the config

Traceback (most recent call last):
File "c:/Users/hap/Desktop/Projects/cgt/BERT.py", line 47, in <module>
  model = TFBertModel.from_pretrained(model_file)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site- packages\transformers\modeling_tf_utils.py", line 529, in from_pretrained
  config, model_kwargs = cls.config_class.from_pretrained(
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 311, in from_pretrained
  config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 354, in get_config_dict
  config_dict = cls._dict_from_json_file(resolved_config_file)
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\site-packages\transformers\configuration_utils.py", line 436, in _dict_from_json_file
  text = reader.read()
File "C:\Users\hap\AppData\Local\Programs\Python\Python38\lib\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