code: def __init__(self, config):
      super().__init__(config)
      self.transformer = GPT2Model(config)
      init(self.transformer)
  
      self._init_head_modules()
  
      self.init_weights()
  
      # Model parallel
      self.model_parallel = False
      self.device_map = None
  
file_path: adapters/src/adapters/models/gpt2/adapter_model.py
imports: import logging
  import torch
  from adapters.heads.base import QuestionAnsweringHead
  from transformers.models.gpt2.modeling_gpt2 import GPT2_START_DOCSTRING, GPT2Model, GPT2PreTrainedModel
  from transformers.utils import add_start_docstrings
  from ...composition import adjust_tensors_for_parallel
  from ...heads import CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 1 to create a new GPT2AdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, GPT2PreTrainedModel with example: obj = GPT2AdapterModel(config)