Fast Tokenization fail for the pretrained model
Author: jasonwu0731
Pull request: no

## 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: 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)

<!-- If you have code snippets, error messages, stack traces please provide them here as well.
     Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
     Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.-->

```
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.


Comments:
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/master/CONTRIBUTING.md) are likely to be ignored.