-uncased")

        >>> prompt = "In Italy, pizza served in formal settings, such as at a restaurant, is presented unsliced."
        >>> next_sentence = "The sky is blue due to the shorter wavelength of blue light."
        >>> encoding = tokenizer(prompt, next_sentence, return_tensors="tf")

        >>> logits = model(encoding["input_ids"], token_type_ids=encoding["token_type_ids"])[0]
        >>> assert logits[0][0] < logits[0][1]  # the next sentence was random
        ```rO