code: def __init__(self, config):
      super().__init__(config)
  
      self.beit = BeitModel(config)
      init(self.beit)
  
      self._init_head_modules()
  
      # Initialize weights and apply final processing
      self.post_init()
  
file_path: adapters/src/adapters/models/beit/adapter_model.py
imports: from typing import Optional
  import torch
  from transformers.models.beit.modeling_beit import BEIT_INPUTS_DOCSTRING, BEIT_START_DOCSTRING, BeitModel, BeitPreTrainedModel
  from transformers.utils import add_start_docstrings, add_start_docstrings_to_model_forward
  from ...context import AdapterSetup
  from ...heads import ImageClassificationHead, ModelWithFlexibleHeadsAdaptersMixin
  from ...wrappers import init
label_desc: Use image node_id 1 to create a new BeitAdapterModel object from inherited base classes: ModelWithFlexibleHeadsAdaptersMixin, BeitPreTrainedModel with example: obj = BeitAdapterModel(config)