docstr: NOTE: In the bart_score.py file above, BARTScorer.load() needs to be
  ```
  def load(self, path=None):
      if path is None:
          path = 'models/bart.pth'
      print("Loading from finetuned with custom hacks", path)
      state_dict = torch.load(path, map_location=DEFAULT_DEVICE)
      try:
          self.model.load_state_dict(state_dict)
      except Exception as _:
          state_dict = { x.replace("model.", "", 1) : v for x, v in state_dict.items() }
          self.model.load_state_dict(state_dict)
  ```
  for the loading of the model to work with our fine tuned model
code: def __init__(self):
      """
      NOTE: In the bart_score.py file above, BARTScorer.load() needs to be
      ```
      def load(self, path=None):
          if path is None:
              path = 'models/bart.pth'
          print("Loading from finetuned with custom hacks", path)
          state_dict = torch.load(path, map_location=DEFAULT_DEVICE)
          try:
              self.model.load_state_dict(state_dict)
          except Exception as _:
              state_dict = { x.replace("model.", "", 1) : v for x, v in state_dict.items() }
              self.model.load_state_dict(state_dict)
      ```
      for the loading of the model to work with our fine tuned model
      """
      self.scorer = BARTScorer(
          device=DEFAULT_DEVICE, checkpoint="facebook/bart-large-cnn"
      )
      # Path here to fine-tuend BART Model
      try:
          self.scorer.load(
              BART_SCORE_REPO
              + "/train/reproduce/trained/fine_tuned_bartscore.pth"
          )
      except FileNotFoundError:
          raise FileNotFoundError(
              f"Path here should be to fine tuned BART model from"
              + "https://dl.fbaipublicfiles.com/parlai/projects/roscoe/fine_tuned_bartscore.pth"
          )
      self.score_type = BARTSCORE_FINETUNED_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 BartscoreFineTunedBaselineScorer object from inherited base classes: BartscoreBase with example: obj = BartscoreFineTunedBaselineScorer()