code: def __init__(self, config):
      super().__init__(config)
  
      self.electra = ElectraModel(config)
      init(self.electra)
  
      self._init_head_modules()
  
      self.init_weights()
  
file_path: adapters/src/adapters/models/electra/adapter_model.py
imports: from transformers.models.electra.modeling_electra import ELECTRA_INPUTS_DOCSTRING, ELECTRA_START_DOCSTRING, ElectraModel, ElectraPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...context import AdapterSetup
  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 ElectraAdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, ElectraPreTrainedModel with example: obj = ElectraAdapterModel(config)