code: def main():
      train_txt_path = "train.txt"
      eval_txt_path = "eval.txt"
  
      train_dataset = load_dataset("billsum", split="train[0:1999]")
      eval_dataset = load_dataset("billsum", split="test[0:199]")
  
      generate_txt(train_txt_path, train_dataset)
      generate_txt(eval_txt_path, eval_dataset)
  
      happy_gen = HappyGeneration(model_type="GPT2", model_name="gpt2")
  
      train_args = GENTrainArgs(
          num_train_epochs=1,
          learning_rate=1e-5,
          max_length=256,
          fp16=True,
          # deepspeed="ZERO-2",
          # report_to = ('wandb'),
          # project_name = "happy-transformer-examples",
          # run_name = "text-generation",
      )
  
      happy_gen.train(
          train_txt_path, args=train_args, eval_filepath=eval_txt_path
      )
  
      happy_gen.save("finetuned-model/")
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types