How to predict unlabeling test data?

[qute012]

Hi. I'm Studying Speech Recognition. I have some question. This model takes 4 inputs, below code.

self.model = tf.keras.Model(inputs=[input_data, labels, input_length, label_length], outputs=[loss_out])

If this model predicts test case that is unlabeled, i can't give 'labels', 'label_length' as inputs. How can i do?