src/transformers/models/opt/modeling_tf_opt.py/TFOPTModel/serving_output
class TFOPTModel:    def serving_output(self, output):
        pkv = tf.tuple(output.past_key_values)[1] if self.config.use_cache else None
        hs = tf.convert_to_tensor(output.hidden_states) if self.config.output_hidden_states else None
        attns = tf.convert_to_tensor(output.attentions) if self.config.output_attentions else None

        return TFBaseModelOutputWithPast(
            last_hidden_state=output.last_hidden_state,
            past_key_values=pkv,
            hidden_states=hs,
            attentions=attns,
        )