src/transformers/models/swin/modeling_swin.py/SwinForImageClassification/__init__
class SwinForImageClassification:    def __init__(self, config):
        super().__init__(config)

        self.num_labels = config.num_labels
        self.swin = SwinModel(config)

        # Classifier head
        self.classifier = (
            nn.Linear(self.swin.num_features, config.num_labels) if config.num_labels > 0 else nn.Identity()
        )

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