code: def maybe_load_preprocessors(
      src_name_or_path: Union[str, Path],
      subfolder: str = "",
      trust_remote_code: bool = False,
  ) -> List:
      preprocessors = []
      try:
          preprocessors.append(
              AutoTokenizer.from_pretrained(
                  src_name_or_path,
                  subfolder=subfolder,
                  trust_remote_code=trust_remote_code,
              )
          )
      except Exception:
          pass
  
      try:
          preprocessors.append(
              AutoProcessor.from_pretrained(
                  src_name_or_path,
                  subfolder=subfolder,
                  trust_remote_code=trust_remote_code,
              )
          )
      except Exception:
          pass
  
      try:
          preprocessors.append(
              AutoFeatureExtractor.from_pretrained(
                  src_name_or_path,
                  subfolder=subfolder,
                  trust_remote_code=trust_remote_code,
              )
          )
      except Exception:
          pass
      return preprocessors
  
imports: import logging
  from pathlib import Path
  from typing import List, Union
  from transformers import AutoFeatureExtractor, AutoProcessor, AutoTokenizer
label_desc: Use image node_id 1 for calling a global function with example usage: maybe_load_preprocessors(src_name_or_path, subfolder, trust_remote_code) and returns: preprocessors