src/transformers/models/albert/modeling_tf_albert.py/TFAlbertForQuestionAnswering/__init__
class TFAlbertForQuestionAnswering:    def __init__(self, config: AlbertConfig, *inputs, **kwargs):
        super().__init__(config, *inputs, **kwargs)

        self.num_labels = config.num_labels

        self.albert = TFAlbertMainLayer(config, add_pooling_layer=False, name="albert")
        self.qa_outputs = tf.keras.layers.Dense(
            units=config.num_labels, kernel_initializer=get_initializer(config.initializer_range), name="qa_outputs"
        )