code: def __init__(self):
      self.scorer = BARTScorer(
          device=DEFAULT_DEVICE, checkpoint="facebook/bart-large-cnn"
      )
      try:
          self.scorer.load(
              BART_SCORE_REPO + "/bart_score_para_finetuned.pth"
          )
      except FileNotFoundError:
          raise FileNotFoundError(
              f"Path here should be to fine tuned BART model from https://github.com/neulab/BARTScore#direct-use"
          )
      self.score_type = BARTSCORE_CNN_PARA_F
  
imports: from typing import Dict, List
  from projects.roscoe.baselines.constants import BARTSCORE_CNN_F, BARTSCORE_CNN_PARA_F, BARTSCORE_F, BARTSCORE_FINETUNED_F, BERTSCORE_F, BLEURT, CTC_CONSISTENCY_SUMMARY, CTC_RELEVANCE_SUMMARY, PRISM_AVG, ROUGE_L, ROUGE_2, ROUGE_1, Example, ScoreMe, UseRef
  import re
  from importlib.machinery import SourceFileLoader
label_desc: Use image node_id 1 to create a new BartscoreCNNParaBaselineScorer object from inherited base classes: BartscoreBase with example: obj = BartscoreCNNParaBaselineScorer()