code: def get_labels(self, path: str) -> List[str]:
      if path:
          with open(path, "r") as f:
              labels = f.read().splitlines()
          if "O" not in labels:
              labels = ["O"] + labels
          return labels
      else:
          return [
              "O",
              "B-MISC",
              "I-MISC",
              "B-PER",
              "I-PER",
              "B-ORG",
              "I-ORG",
              "B-LOC",
              "I-LOC",
          ]
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/examples/legacy/token-classification/tasks.py
imports: import logging
  import os
  from typing import List, TextIO, Union
  from conllu import parse_incr
  from utils_ner import InputExample, Split, TokenClassificationTask
label_desc: Use image node_id 4 for calling the NER obj's underlying member method code with example usage: obj.get_labels(path) and returns: labels, list