TROCR truncating output string
### System Info

```shell
- `transformers` version: 4.19.1
- Platform: Windows-10-10.0.19044-SP0
- Python version: 3.8.13
- Huggingface_hub version: 0.5.1
- PyTorch version (GPU?): 1.9.0+cu111 (True)
- Tensorflow version (GPU?): 2.3.1 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: (False)
- Using distributed or parallel set-up in script?: (False)
```


### Who can help?

@NielsRogge Hi, first of all , thank you for providing such a comprehensive port. I am in general impressed with the output of the model , and I haven't yet tuned it, just testing however I have an issue with long Input strings while testing TROCR, I have already searched the documentation but could find a  parameter for inference.  Example 1:
![Trocr_test](https://user-images.githubusercontent.com/105577596/168460304-4e1cf37c-769f-495e-96bf-bb744e3802d6.JPG)
Output would be: 'AUGENMENISKUSHORIZONTAL- / LAPPEN- /R' 
I assumed there might be a max_lenght ~32 so I tried
![Trocr_test_2](https://user-images.githubusercontent.com/105577596/168460387-50f1f4b0-7fbc-4e81-9d05-71f31f47bf2c.JPG)
Output would be :'SUPERCALIFRAGISLISTICEXPIALIDOCIOUSFANTAST'
Can you help me out here? Thanks in advance



### 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

using script:
from transformers import TrOCRProcessor, VisionEncoderDecoderModel
#device = "cuda" if torch.cuda.is_available() else "cpu"
print_processor = TrOCRProcessor.from_pretrained('microsoft/trocr-large-printed')
print_model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-large-printed')#.to(device)

def ocr_print_image(src_img):
  pixel_values = print_processor(images=src_img, return_tensors="pt").pixel_values
  generated_ids = print_model.generate(pixel_values)
  return print_processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
handwriting1 = Image.open(r'test_image.jpg')
ocr_print_image(handwriting1)

### Expected behavior

```shell
I would like to have an output that is not 'capped' or truncated as it seems. I realize this is edge cases however especially example one is real world and can occur often.
Thanks again.
```

The [generate](https://huggingface.co/docs/transformers/main/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate) method provides an argument called `max_length` which specifies the max number of tokens to generate.

Note that generation stops when the end-of-sequence token is generated.<|||||>> The [generate](https://huggingface.co/docs/transformers/main/en/main_classes/text_generation#transformers.generation_utils.GenerationMixin.generate) method provides an argument called `max_length` which specifies the max number of tokens to generate.
> 
> Note that generation stops when the end-of-sequence token is generated.
@NielsRogge Thank you very much ! 
Cheers

<|||||>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.

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