chunk_content: nformation:
  
  
  	Copied
  labels = dataset.features["label"].names
  label2id, id2label = dict(), dict()
  for i, label in enumerate(labels):
      label2id[label] = i
      id2label[i] = label
  
  id2label[2]
  "baklava"
  Next, load the image processor of the model you’re fine-tuning:
  
  
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  from transformers import AutoImageProcessor
  
  image_processor = AutoImageProcessor.from_pretrained(model_checkpoint)
  The image_processor contains useful information on wh