chunk_content: or
  
  image_processor = AutoImageProcessor.from_pretrained(model_checkpoint)
  The image_processor contains useful information on which size the training and evaluation images should be resized
  to, as well as values that should be used to normalize the pixel values. Using the image_processor, prepare transformation
  functions for the datasets. These functions will include data augmentation and pixel scaling:
  
  
  	Copied
  from torchvision.transforms imp