src/transformers/models/ernie_m/modeling_ernie_m.py/ErnieMForMultipleChoice/__init__
class ErnieMForMultipleChoice:    def __init__(self, config):
        super().__init__(config)

        self.ernie_m = ErnieMModel(config)
        classifier_dropout = (
            config.classifier_dropout if config.classifier_dropout is not None else config.hidden_dropout_prob
        )
        self.dropout = nn.Dropout(classifier_dropout)
        self.classifier = nn.Linear(config.hidden_size, 1)

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