Pass your inputs to the model and return the logits:

from transformers import TFAutoModelForImageClassification
model = TFAutoModelForImageClassification.from_pretrained("MariaK/food_classifier")
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_class_id = int(tf.math.argmax(logits, axis=-1)[0])
model.config.id2label[predicted_class_id]
'beignets'