>>> outputs = model(**encoding, labels=sequence_label)

        >>> loss, logits = outputs.loss, outputs.logits
        >>> predicted_idx = logits.argmax(dim=-1).item()
        >>> predicted_answer = dataset.info.features["label"].names[4]
        >>> predicted_idx, predicted_answer
        (4, 'advertisement')
        ```
        Nr(