code: def add_head(self, model, name, **kwargs):
      if "num_labels" not in kwargs:
          kwargs["num_labels"] = 10
      model.add_image_classification_head(name, **kwargs)
      return model.heads[name].config["num_labels"]
  
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 2 for calling the VisionAdapterTestBase obj's underlying member method code with example usage: obj.add_head(model, name) and returns: model