rag model evaluation program bug
### System Info

transformers=4.25.1
huggingface-hub=0.10.1
tokenizers =0.13.2
python=3.7

### Who can help?

_No response_

### 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

The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. 
The tokenizer class you load from this checkpoint is 'RagTokenizer'. 
The class this function is called from is 'BartTokenizerFast'.
Loading passages from https://storage.googleapis.com/huggingface-nlp/datasets/wiki_dpr
Traceback (most recent call last):
  File "/home/nano/transformers/examples/research_projects/rag/eval_rag.py", line 321, in <module>
    main(args)
  File "/home/nano/transformers/examples/research_projects/rag/eval_rag.py", line 295, in main
    retriever = RagRetriever.from_pretrained(checkpoint, **model_kwargs)
  File "/home/nano/transformers/src/transformers/models/rag/retrieval_rag.py", line 429, in from_pretrained
    index = cls._build_index(config)
  File "/home/nano/transformers/src/transformers/models/rag/retrieval_rag.py", line 400, in _build_index
    config.index_path or LEGACY_INDEX_PATH,
  File "/home/nano/transformers/src/transformers/models/rag/retrieval_rag.py", line 108, in __init__
    self.passages = self._load_passages()
  File "/home/nano/transformers/src/transformers/models/rag/retrieval_rag.py", line 133, in _load_passages
    passages_path = self._resolve_path(self.index_path, self.PASSAGE_FILENAME)
  File "/home/nano/transformers/src/transformers/models/rag/retrieval_rag.py", line 117, in _resolve_path
    resolved_archive_file = cached_file(index_path, filename)
  File "/home/nano/transformers/src/transformers/utils/hub.py", line 420, in cached_file
    local_files_only=local_files_only,
  File "/home/nano/miniconda3/envs/rag/lib/python3.7/site-packages/huggingface_hub/file_download.py", line 1022, in hf_hub_download
    cache_dir, repo_folder_name(repo_id=repo_id, repo_type=repo_type)
  File "/home/nano/miniconda3/envs/rag/lib/python3.7/site-packages/huggingface_hub/utils/_validators.py", line 92, in _inner_fn
    validate_repo_id(arg_value)
  File "/home/nano/miniconda3/envs/rag/lib/python3.7/site-packages/huggingface_hub/utils/_validators.py", line 137, in validate_repo_id
    "Repo id must be in the form 'repo_name' or 'namespace/repo_name':"
huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': 'https://storage.googleapis.com/huggingface-nlp/datasets/wiki_dpr'. Use `repo_type` argument if needed.


### Expected behavior

I run the evaluation program of the rag model, and after adding hyperparameters according to the example, it prompts an error
This example relies on earlier version of Transformers and HuggingFace Hub, you should downgrade them.<|||||>@sgugger I'm sorry, can you give some advice about the version?I have tried several versions myself without success.<|||||>It looks like this example was released along with Transformers 3.2.0 or 3.3.0.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.