Pass your inputs to the model and return the logits:

from transformers import AutoModelForImageClassification
model = AutoModelForImageClassification.from_pretrained("my_awesome_food_model")
with torch.no_grad():
     logits = model(**inputs).logits

Get the predicted label with the highest probability, and use the model's id2label mapping to convert it to a label:

predicted_label = logits.argmax(-1).item()
model.config.id2label[predicted_label]
'beignets'