code: def __init__(self, config):
      super().__init__(config)
      self.distilbert = DistilBertModel(config)
      init(self.distilbert)
  
      self._init_head_modules()
  
      self.init_weights()
  
imports: import torch.nn
  from transformers.models.distilbert.modeling_distilbert import DISTILBERT_INPUTS_DOCSTRING, DISTILBERT_START_DOCSTRING, DistilBertModel, DistilBertPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...heads import BertStyleMaskedLMHead, BiaffineParsingHead, CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, MultipleChoiceHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 1 to create a new DistilBertAdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, DistilBertPreTrainedModel with example: obj = DistilBertAdapterModel(config)