src/transformers/models/deberta_v2/modeling_tf_deberta_v2.py/TFDebertaV2ForTokenClassification/__init__
class TFDebertaV2ForTokenClassification:    def __init__(self, config: DebertaV2Config, *inputs, **kwargs):
        super().__init__(config, *inputs, **kwargs)

        self.num_labels = config.num_labels

        self.deberta = TFDebertaV2MainLayer(config, name="deberta")
        self.dropout = tf.keras.layers.Dropout(rate=config.hidden_dropout_prob)
        self.classifier = tf.keras.layers.Dense(
            units=config.num_labels, kernel_initializer=get_initializer(config.initializer_range), name="classifier"
        )