code: def __init__(self, config):
      super().__init__(config)
      from transformers.activations import get_activation
  
      setattr(self, "activation", get_activation(config.activation))
      setattr(self, "distilbert", DistilBertModel(config))
      setattr(
          self, "vocab_transform", nn.Conv2d(config.dim, config.dim, 1)
      )
      setattr(
          self, "vocab_layer_norm", LayerNormANE(config.dim, eps=EPS)
      )
      setattr(
          self,
          "vocab_projector",
          nn.Conv2d(config.dim, config.vocab_size, 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 DistilBertForMaskedLM object from inherited base classes: modeling_distilbert with example: obj = DistilBertForMaskedLM(config)