chunk_content:   label2id=label2id,
      id2label=id2label,
      ignore_mismatched_sizes=True,  # provide this in case you're planning to fine-tune an already fine-tuned checkpoint
  )
  # Load the LoRA model
  inference_model = PeftModel.from_pretrained(model, repo_name)
  Let’s now fetch an example image for inference.
  
  
  	Copied
  from PIL import Image
  import requests
  
  url = "https://huggingface.co/datasets/sayakpaul/sample-datasets/resolve/main/beignets.jpeg"
  image = 