answer_start_index = outputs.start_logits.argmax()
answer_end_index = outputs.end_logits.argmax()

Decode the predicted tokens to get the answer:

predict_answer_tokens = inputs.input_ids[0, answer_start_index : answer_end_index + 1]
tokenizer.decode(predict_answer_tokens)
'176 billion parameters and can generate text in 46 languages natural languages and 13'

Tokenize the text and return TensorFlow tensors: