code: def __init__(
      self, path, category="Uncategorized", use_classifier: bool = False
  ):
      self.cache = get_commit_data_cache()
      self.commits = CommitList.from_existing(path)
      if use_classifier:
          print("Using a classifier to aid with categorization.")
          device = "cuda" if torch.cuda.is_available() else "cpu"
          classifier_config = CategoryConfig(common.categories)
          author_map = get_author_map(
              Path("results/classifier"),
              regen_data=False,
              assert_stored=True,
          )
          file_map = get_file_map(
              Path("results/classifier"),
              regen_data=False,
              assert_stored=True,
          )
          self.classifier = CommitClassifier(
              XLMR_BASE, author_map, file_map, classifier_config
          ).to(device)
          self.classifier.load_state_dict(
              torch.load(
                  Path("results/classifier/commit_classifier.pt")
              )
          )
          self.classifier.eval()
      else:
          self.classifier = None
      # Special categories: 'Uncategorized'
      # All other categories must be real
      self.category = category
  
file_path: pytorch/scripts/release_notes/categorize.py
imports: import argparse
  import os
  import textwrap
  from pathlib import Path
  import common
  import torch
  from classifier import CategoryConfig, CommitClassifier, CommitClassifierInputs, get_author_map, get_file_map, XLMR_BASE
  from commitlist import CommitList
  from common import get_commit_data_cache, topics
label_desc: Use image node_id 1 to create a new Categorizer object  with example: obj = Categorizer(path, category, use_classifier)