OSError: file bert-base-uncased/config.json not found

Environment info

• transformers version: 4.4.2
• Python version: 3.6
• PyTorch version (GPU?): 1.8.0 (Tesla V100)

Information

The problem arises when using:

from transformers import BertModel
model = BertModel.from_pretrained('bert-base-uncased')

Error Info (Some personal info has been replaced by —)

file bert-base-uncased/config.json not found
Traceback (most recent call last):
  File "---/anaconda3/envs/attn/lib/python3.6/site-packages/transformers-4.2.2-py3.8.egg/transformers/configuration_utils.py", line 420, in get_config_dict
  File "---/anaconda3/envs/attn/lib/python3.6/site-packages/transformers-4.2.2-py3.8.egg/transformers/file_utils.py", line 1063, in cached_path
OSError: file bert-base-uncased/config.json not found

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "---.py", line 107, in <module>
    from_pretrained_input()
  File "---.py", line 96, in from_pretrained_input
    model = BertModel.from_pretrained('bert-base-uncased')
  File "---/anaconda3/envs/attn/lib/python3.6/site-packages/transformers-4.2.2-py3.8.egg/transformers/modeling_utils.py", line 962, in from_pretrained
  File "---/anaconda3/envs/attn/lib/python3.6/site-packages/transformers-4.2.2-py3.8.egg/transformers/configuration_utils.py", line 372, in from_pretrained
  File "---/anaconda3/envs/attn/lib/python3.6/site-packages/transformers-4.2.2-py3.8.egg/transformers/configuration_utils.py", line 432, in get_config_dict
OSError: Can't load config for 'bert-base-uncased'. Make sure that:

- 'bert-base-uncased' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'bert-base-uncased' is the correct path to a directory containing a config.json file

what I have read:

https://github.com/huggingface/transformers/issues/353

what I have tried:

1. loading from a downloaded model file works well

wget https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz

unzip the file and rename bert_config.json as config.json, then

model = BertModel.from_pretrained(BERT_BASE_UNCASED_CACHE)

1. enough disk space, enough memory, free GPU

2. open internet connection, no proxy

import pytorch_pretrained_bert as ppb
assert 'bert-large-cased' in ppb.modeling.PRETRAINED_MODEL_ARCHIVE_MAP

1. The following models work well

model = BertModel.from_pretrained('bert-base-cased')

model = RobertaModel.from_pretrained('roberta-base')

1. working well in server cmd but not in local pycharm (remote deployment to server)

Observation:

• Pycharm can found the transfromers installed with pip, but that will trigger this problem
• Pycharm cannot find the current transformers installed with conda conda install transformers=4.4 -n env -c huggingface

[vildhet]

Hi, I’ve had the same error but with roberta-base. It appeared that I had an empty folder named roberta-base in my working directory. Removing it solved the issue.

[leoliu0]

I found this issue is caused by setting cache directory using checkpoint name TrainingArguments(checkpoint,evaluation_strategy=‘steps’)

change checkpoint to something else resolve the issue