chunked/nltk_chunking/tasks_image_classification/chunk_52.txt

Load an image you'd like to run inference on:

ds = load_dataset("food101", split="validation[:10]")
image = ds["image"][0]

The simplest way to try out your finetuned model for inference is to use it in a [pipeline].