Pass your inputs to the model and return the logits:

from transformers import TFAutoModelForMultipleChoice
model = TFAutoModelForMultipleChoice.from_pretrained("my_awesome_swag_model")
inputs = {k: tf.expand_dims(v, 0) for k, v in inputs.items()}
outputs = model(inputs)
logits = outputs.logits

Get the class with the highest probability:

predicted_class = int(tf.math.argmax(logits, axis=-1)[0])
predicted_class
'0'