code: def __init__(self, config):
      super().__init__(config)
      setattr(self, "distilbert", DistilBertModel(config))
      setattr(
          self,
          "classifier",
          nn.Conv2d(config.hidden_size, config.num_labels, 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 DistilBertForTokenClassification object from inherited base classes: modeling_distilbert with example: obj = DistilBertForTokenClassification(config)