src/transformers/models/reformer/modeling_reformer.py/ReformerForSequenceClassification/__init__
class ReformerForSequenceClassification:    def __init__(self, config):
        super().__init__(config)
        self.num_labels = config.num_labels
        self.config = config

        self.reformer = ReformerModel(config)
        self.classifier = ReformerClassificationHead(config)
        if config.is_decoder is True:
            logger.warning("You might want to disable causal masking for sequence classification")

        # Initialize weights and apply final processing
        self.post_init()