src/transformers/models/roberta_prelayernorm/modeling_tf_roberta_prelayernorm.py/TFRobertaPreLayerNormForSequenceClassification/__init__
class TFRobertaPreLayerNormForSequenceClassification:    def __init__(self, config, *inputs, **kwargs):
        super().__init__(config, *inputs, **kwargs)
        self.num_labels = config.num_labels

        self.roberta_prelayernorm = TFRobertaPreLayerNormMainLayer(
            config, add_pooling_layer=False, name="roberta_prelayernorm"
        )
        self.classifier = TFRobertaPreLayerNormClassificationHead(config, name="classifier")