code: def __init__(self, config):
      super().__init__(config)
      setattr(self, "distilbert", DistilBertModel(config))
      setattr(
          self, "pre_classifier", nn.Conv2d(config.dim, config.dim, 1)
      )
      setattr(self, "classifier", nn.Conv2d(config.dim, 1, 1))
  
imports: from ane_transformers.reference.layer_norm import LayerNormANE
  import torch
  import torch.nn
  from transformers.models.distilbert import modeling_distilbert
label_desc: Use image node_id 1 to create a new DistilBertForMultipleChoice object from inherited base classes: modeling_distilbert with example: obj = DistilBertForMultipleChoice(config)