T5 Tokenizer misses a space
### System Info


```
tokenizer = AutoTokenizer.from_pretrained("t5-3b", use_fast=False)#metrics_util.tokenizer
tokenizer.decode(tokenizer("Intel unveils Project Alloy 'merged reality' headset")["input_ids"], skip_special_tokens=True)

Output: Intel unveils Project Alloy'merged reality' headset 
```
Note that the space between Alloy and 'merged reality' is missing.

System
---------------------
transformers == 4.21.0
python == 3.7.11
Ubuntu 18.04.6 LTS


### Who can help?

_No response_

### Information

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

### Tasks

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

### Reproduction

from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("t5-3b", use_fast=False)#metrics_util.tokenizer
print(tokenizer.decode(tokenizer("Intel unveils Project Alloy 'merged reality' headset")["input_ids"], skip_special_tokens=True))

### Expected behavior

Intel unveils Project Alloy 'merged reality' headset
One workaround is adding `clean_up_tokenization_spaces=False` in tokenizer.decode<|||||>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.