code: def __init__(
      self,
      model,
      head_name,
      **config,
  ):
      super().__init__(head_name)
      self.config = config
      self.build(model=model)
  
file_path: adapters/tests/test_adapter_custom_head.py
imports: import tempfile
  import unittest
  import torch
  from adapters import AutoAdapterModel
  from adapters.heads import ClassificationHead, PredictionHead
  from transformers import AutoConfig
  from transformers.testing_utils import require_torch, torch_device
  from .test_adapter import ids_tensor
label_desc: Use image node_id 1 to create a new CustomHead object from inherited base classes: PredictionHead with example: obj = CustomHead(model, head_name)