code: def get_model(self):
      if self.model_class == AutoAdapterModel:
          model = AutoAdapterModel.from_config(self.config())
      else:
          model = self.model_class(self.config())
          adapters.init(model)
      model.to(torch_device)
      return model
  
imports: import random
  import datasets
  import torch
  import adapters
  from adapters import AutoAdapterModel
  from transformers import AutoFeatureExtractor, AutoTokenizer, GlueDataset, GlueDataTrainingArguments
  from transformers.testing_utils import torch_device
label_desc: Use image node_id 1 for calling the AdapterTestBase obj's underlying member method code with example usage: obj.get_model() and returns: model