code: def __init__(self, config):
      super().__init__(config)
      self.linear = torch.nn.Linear(
          config.hidden_size, config.hidden_size
      )
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/utils/test_module/custom_modeling.py
imports: import torch
  from transformers import PreTrainedModel
  from .custom_configuration import CustomConfig, NoSuperInitConfig
label_desc: Use image node_id 1 to create a new CustomModel object from inherited base classes: PreTrainedModel with example: obj = CustomModel(config)