Segformer ouput size
### System Info

thanks for this repo,

Segformer `output size` is `input_size/4,` as mentionned here
https://github.com/huggingface/transformers/blob/main/src/transformers/models/segformer/modeling_tf_segformer.py#L780

However, this line of documentation is wrong:
https://github.com/huggingface/transformers/blob/main/src/transformers/models/segformer/modeling_tf_segformer.py#L850

By the way, what would be the easiest way to augment the ouput size, adding upsampling layers at the end ? 

### Who can help?

_No response_

### Information

- [X] 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

read the code :) there is an inconsitency in the doc :)

### Expected behavior

the doc. should be consistent
cc @NielsRogge -- is the right logits shape `(batch_size, num_labels, height, width)` or `(batch_size, num_labels, height/4, width/4)`?

@joihn depending on @NielsRogge answer, would you like to open a PR to fix the documentation? :) The PyTorch model has the same comments, that may need to be fixed.<|||||>Hi,

Yes it should be `(batch_size, num_labels, height/4, width/4)`.<|||||>PR merged