code: def __init__(self, config):
      super().__init__(config)
  
      self.albert = AlbertModel(config)
      init(self.albert)
  
      self._init_head_modules()
  
      self.init_weights()
  
file_path: adapters/src/adapters/models/albert/adapter_model.py
imports: from transformers.models.albert.modeling_albert import ALBERT_INPUTS_DOCSTRING, ALBERT_START_DOCSTRING, AlbertModel, AlbertPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...context import AdapterSetup
  from ...heads import BertStyleMaskedLMHead, 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 AlbertAdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, AlbertPreTrainedModel with example: obj = AlbertAdapterModel(config)