code: def train(
      self,
      input_filepath: str,
      args: GENTrainArgs = GENTrainArgs(),
      eval_filepath: str = "",
  ):
      super(HappyGeneration, self).train(
          input_filepath, args, eval_filepath
      )
  
imports: from dataclasses import dataclass
  from typing import List, Union
  from datasets import Dataset
  from transformers import AutoModelForCausalLM, default_data_collator, TextGenerationPipeline
  from happytransformer.adaptors import get_adaptor
  from happytransformer.args import GENEvalArgs, GENTrainArgs
  from happytransformer.fine_tuning_util import csv_tok_text_gen_mlm, EvalResult, tok_text_gen_mlm
  from happytransformer.happy_transformer import HappyTransformer
label_desc: Use image node_id 6 for calling the HappyGeneration obj's underlying member method code with example usage: obj.train(input_filepath, args, eval_filepath) without return types