Fast Tokenization fail for the pretrained model
## Environment info
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- `transformers` version: 4.5.1
- Platform: Linux-5.4.89+-x86_64-with-debian-bullseye-sid
- Python version: 3.6.9
- PyTorch version (GPU?): 1.8.1+cu102 (True)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No

### Who can help

Library:
- pipelines: @LysandreJik

## Information

The model I am using is pipeline summarization:

## To reproduce

Steps to reproduce the behavior:

1. from transformers import pipeline
2. summarizer = pipeline("summarization", model="Salesforce/bart-large-xsum-samsum", device=0)

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```
Traceback (most recent call last):
  File "run_pipeline.py", line 52, in <module>
    summarizer = pipeline("summarization", model=args.model, device=0)
  File "/opt/conda/lib/python3.6/site-packages/transformers/pipelines/__init__.py", line 388, in pipeline
    tokenizer, revision=revision, use_fast=use_fast, _from_pipeline=task, **model_kwargs
  File "/opt/conda/lib/python3.6/site-packages/transformers/models/auto/tokenization_auto.py", line 423, in from_pretrained
    return tokenizer_class_fast.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
  File "/opt/conda/lib/python3.6/site-packages/transformers/tokenization_utils_base.py", line 1710, in from_pretrained
    resolved_vocab_files, pretrained_model_name_or_path, init_configuration, *init_inputs, **kwargs
  File "/opt/conda/lib/python3.6/site-packages/transformers/tokenization_utils_base.py", line 1781, in _from_pretrained
    tokenizer = cls(*init_inputs, **init_kwargs)
  File "/opt/conda/lib/python3.6/site-packages/transformers/models/roberta/tokenization_roberta_fast.py", line 173, in __init__
    **kwargs,
  File "/opt/conda/lib/python3.6/site-packages/transformers/models/gpt2/tokenization_gpt2_fast.py", line 145, in __init__
    **kwargs,
  File "/opt/conda/lib/python3.6/site-packages/transformers/tokenization_utils_fast.py", line 96, in __init__
    fast_tokenizer = TokenizerFast.from_file(fast_tokenizer_file)
Exception: No such file or directory (os error 2)
```

## Expected behavior

I would expect the model can use fast tokenization as other models did.

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