404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased
### System Info

- `transformers` version: 4.9.1
- Platform: Linux-4.15.0-210-generic-x86_64-with-debian-buster-sid
- Python version: 3.7.10
- PyTorch version (GPU?): 1.9.0 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No



### Who can help?

@ArthurZucker @younesbelkada @Narsil @sgugger 

### Information

- [X] The official example scripts
- [ ] My own modified scripts

### Tasks

- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)

### Reproduction

1.  `from transformers import BertTokenizer, BertModel`
2.  `tokenizer = BertTokenizer.from_pretrained('bert-large-cased')`

As discussed [here](https://huggingface.co/bert-large-cased#:~:text=from%20transformers%20import%20BertTokenizer%2C%20BertModel%0Atokenizer%20%3D%20BertTokenizer.from_pretrained(%27bert%2Dlarge%2Dcased%27))


Leads to the following `HTTPError`

```
HTTPError                                 Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretrained('bert-large-cased')

~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/tokenization_utils_base.py in from_pretrained(cls, pretrained_model_name_or_path, *init_inputs, **kwargs)
   1646             # At this point pretrained_model_name_or_path is either a directory or a model identifier name
   1647             fast_tokenizer_file = get_fast_tokenizer_file(
-> 1648                 pretrained_model_name_or_path, revision=revision, use_auth_token=use_auth_token
   1649             )
   1650             additional_files_names = {

~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/tokenization_utils_base.py in get_fast_tokenizer_file(path_or_repo, revision, use_auth_token)
   3406     """
   3407     # Inspect all files from the repo/folder.
-> 3408     all_files = get_list_of_files(path_or_repo, revision=revision, use_auth_token=use_auth_token)
   3409     tokenizer_files_map = {}
   3410     for file_name in all_files:

~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/file_utils.py in get_list_of_files(path_or_repo, revision, use_auth_token)
   1685         token = None
   1686     model_info = HfApi(endpoint=HUGGINGFACE_CO_RESOLVE_ENDPOINT).model_info(
-> 1687         path_or_repo, revision=revision, token=token
   1688     )
   1689     return [f.rfilename for f in model_info.siblings]

~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/huggingface_hub/hf_api.py in model_info(self, repo_id, revision, token)
    246         )
    247         r = requests.get(path, headers=headers)
--> 248         r.raise_for_status()
    249         d = r.json()
    250         return ModelInfo(**d)

~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/requests/models.py in raise_for_status(self)
    951 
    952         if http_error_msg:
--> 953             raise HTTPError(http_error_msg, response=self)
    954 
    955     def close(self):

HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased
```

### Expected behavior

Should run without `HTTPError`
Same here.
It seems to have something to do with [this](https://twitter.com/huggingface/status/1655760648926642178)<|||||>This is a duplicate of #23228 and #23229. The HuggingFace Hub is undergoing some problems, you can follow progress on resolution on the [HF status twitter](https://twitter.com/hf_status) account or the [status page](https://status.huggingface.co/).