src/transformers/models/convnextv2/modeling_convnextv2.py/ConvNextV2ForImageClassification/__init__
class ConvNextV2ForImageClassification:    def __init__(self, config):
        super().__init__(config)

        self.num_labels = config.num_labels
        self.convnextv2 = ConvNextV2Model(config)

        # Classifier head
        self.classifier = (
            nn.Linear(config.hidden_sizes[-1], config.num_labels) if config.num_labels > 0 else nn.Identity()
        )

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