T5 vocab size discrepancy between config and tokenizer
### System Info

![image](https://user-images.githubusercontent.com/12378820/193693962-7720b071-f6d3-4973-8df1-57b5236ea4c8.png)

transformers version == '4.18.0'

### 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

Copy the code in image

### Expected behavior

same vocab size
I found the same issue for deberta-v3 #19301. It should be fine as long as the model's vocab is larger than the tokenizer's. <|||||>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.