code: def __init__(self, config):
      super().__init__(config)
  
      self.deberta = DebertaModel(config)
      init(self.deberta)
  
      self._init_head_modules()
  
      self.init_weights()
  
file_path: adapters/src/adapters/models/deberta/adapter_model.py
imports: from transformers.file_utils import add_start_docstrings
  from transformers.models.deberta.modeling_deberta import DebertaModel, DebertaPreTrainedModel
  from ...context import AdapterSetup
  from ...heads import BertStyleMaskedLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 1 to create a new DebertaAdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, DebertaPreTrainedModel with example: obj = DebertaAdapterModel(config)