code: def model_provider(pre_process=True, post_process=True):
      """Build the model."""
      config = core_transformer_config_from_args(get_args())
      print_rank_0("building multichoice model for RACE ...")
      model = MultipleChoice(
          config=config,
          num_tokentypes=2,
          pre_process=pre_process,
          post_process=post_process,
      )
  
      return model
  
file_path: megatron-lm/tasks/race/finetune.py
imports: from megatron import get_args
  from megatron import print_rank_0
  from megatron import get_tokenizer
  from megatron.model.multiple_choice import MultipleChoice
  from tasks.eval_utils import accuracy_func_provider
  from tasks.finetune_utils import finetune
  from tasks.race.data import RaceDataset
  from megatron.arguments import core_transformer_config_from_args
label_desc: Use image node_id 2 for calling a global function with example usage: model_provider(pre_process, post_process) and returns: model