readme: ### How to use
  
  Here is how to use this model in PyTorch:
  
  ```python
  from transformers import TrOCRProcessor, VisionEncoderDecoderModel
  from PIL import Image
  import requests
  
  # load image from the IAM database (actually this model is meant to be used on printed text)
  url = 'https://fki.tic.heia-fr.ch/static/img/a01-122-02-00.jpg'
  image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
  
  processor = TrOCRProcessor.from_pretrained('ycchen/TrOCR-base-ver021-v1')
  model = VisionEncoderDecoderModel.from_pretrained('ycchen/TrOCR-base-ver021-v1')
  pixel_values = processor(images=image, return_tensors="pt").pixel_values
  
  generated_ids = model.generate(pixel_values)
  generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
  ```