TFBertMode.pre_trained('bert-base-uncased') --> OSError  
## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->
     
- `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)
<ipython-input-4-c74bfe775797> in <module>
      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

   

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