TFBertMode.pre_trained('bert-base-uncased') --> OSError

[sansanai]

Environment info

• transformers version: 3.3.1
• Platform: Linux-3.10.0-1127.el7.x86_64-x86_64-with-centos-7.8.2003-Core
• Python version: 3.7.9
• PyTorch version (GPU?): 1.6.0+cu101 (True)
• Tensorflow version (GPU?): 2.3.0 (True)
• Using GPU in script?:
• Using distributed or parallel set-up in script?:

Question :
I wanted to see the pretrained bert model summary,
So I opened Jupyter notebook on my computer installed Quadro RTX 5000 GPUs ,
and typed the following code to load pretrained bert model using TFBertModel.from_pretrained() function.
After running cell, but I got Error messages...

--- test codes ---
from transformers import TFBertModel

encoder = TFBertModel.from_pretrained('bert-base-uncased')
--- end of test codes ---

---- error messages start ---
OSError Traceback (most recent call last)
~/anaconda3/envs/tf23/lib/python3.7/site-packages/transformers/configuration_utils.py in get_config_dict(cls, pretrained_model_name_or_path, **kwargs)
354 resume_download=resume_download,
--> 355 local_files_only=local_files_only,
356 )

~/anaconda3/envs/tf23/lib/python3.7/site-packages/transformers/file_utils.py in cached_path(url_or_filename, cache_dir, force_download, proxies, resume_download, user_agent, extract_compressed_file, force_extract, local_files_only)
729 # File, but it doesn't exist.
--> 730 raise EnvironmentError("file {} not found".format(url_or_filename))
731 else:

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

During handling of the above exception, another exception occurred:

OSError Traceback (most recent call last)
in
1 from transformers import TFBertModel
2
----> 3 encoder = TFBertModel.from_pretrained('bert-base-uncased')

~/anaconda3/envs/tf23/lib/python3.7/site-packages/transformers/modeling_tf_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
543 proxies=proxies,
544 local_files_only=local_files_only,
--> 545 **kwargs,
546 )
547 else:

~/anaconda3/envs/tf23/lib/python3.7/site-packages/transformers/configuration_utils.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
313
314 """
--> 315 config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
316 return cls.from_dict(config_dict, **kwargs)
317

~/anaconda3/envs/tf23/lib/python3.7/site-packages/transformers/configuration_utils.py in get_config_dict(cls, pretrained_model_name_or_path, **kwargs)
366 f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a {CONFIG_NAME} file\n\n"
367 )
--> 368 raise EnvironmentError(msg)
369
370 except json.JSONDecodeError:

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

  ----- end of error messages ---

  I also tested above codes in Colab, In Colab, the above code worked well without errors.

  Please, let me know how to solve this problem..
  Thanks in advance

[sansanai]

I deleted my virtual environment and workspace, re-installed it, re-runed the above codes, and found that the above codes worked without error