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转换模型后无法读取 #2
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可以使用Python3 |
请问是怎么解决这个问题的呢,我也遇到了相同的问题,我的环境是python3.6 |
您好,请问您的问题解决了嘛。。。我使用的是3.7 也会出现这个问题。。。 |
您好,请问您的问题解决了嘛。。。我使用的是3.7 也会出现这个问题。。。 |
怎么解决,我也遇到这个问题,我的环境是python3.7 |
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Traceback (most recent call last):
File "run_classifier.py", line 522, in
main()
File "run_classifier.py", line 460, in main
config = config_class.from_pretrained(args.config_name if args.config_name else args.model_name_or_path, num_labels=num_labels, finetuning_task=args.task_name)
File "/home/cirlab1/userdir/liujin/NLP/Read_Bert_Code/bert_read_step_to_step/transformers/configuration_utils.py", line 154, in from_pretrained
config = cls.from_json_file(resolved_config_file)
File "/home/cirlab1/userdir/liujin/NLP/Read_Bert_Code/bert_read_step_to_step/transformers/configuration_utils.py", line 189, in from_json_file
return cls.from_dict(json.loads(text))
File "/home/cirlab1/anaconda3/lib/python3.6/json/init.py", line 349, in loads
s = s.decode(detect_encoding(s), 'surrogatepass')
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x80 in position 0: invalid start byte
The text was updated successfully, but these errors were encountered: