error:段错误 (核心已转储)

[chaytonmin]

01/10/2021 09:20:19 - INFO - transformers.tokenization_utils - loading file https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-vocab.json from cache at /home/minchen/.cache/torch/transformers/d0c5776499adc1ded22493fae699da0971c1ee4c2587111707a4d177d20257a2.ef00af9e673c7160b4d41cfda1f48c5f4cba57d5142754525572a846a1ab1b9b
01/10/2021 09:20:19 - INFO - transformers.tokenization_utils - loading file https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-merges.txt from cache at /home/minchen/.cache/torch/transformers/b35e7cd126cd4229a746b5d5c29a749e8e84438b14bcdb575950584fe33207e8.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda
01/10/2021 09:20:20 - INFO - transformers.modeling_utils - loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/microsoft/codebert-base/pytorch_model.bin from cache at /home/minchen/.cache/torch/transformers/3416309b564f60f87c1bc2ce8d8a82bb7c1e825b241c816482f750b48a5cdc26.96251fe4478bac0cff9de8ae3201e5847cee59aebbcafdfe6b2c361f9398b349
段错误 (核心已转储)

The error is caused by 'tokenizer = tokenizer_class.from_pretrained(tokenizer_name, do_lower_case=args.do_lower_case)'.
How to solve it?

[guoday]

Please update your transformers and torch using "pip install --upgrade transformers torch" and try it again.