code: def main():
      model_paths = [
          #     'distilbert-base-uncased',
          "bert-base-uncased",
          #     'bert-base-cased',
          #     'xlnet-base-cased',
          # 'roberta-base',
          #     'distilroberta-base'
      ]
      for model_path in model_paths:
          print("-----------------:", model_path)
          aug = naw.ContextualWordEmbsAug(model_path=model_path)
          text = "The quick brown fox jumps over the lazaaaaaaaaay dog"
          augmented_text = aug.augment([text] * 2)
  
file_path: nlpaug/test/profiler.py
imports: import nlpaug, transformers, torch, fairseq, nltk
  from platform import python_version
  import nlpaug.augmenter.audio
  import nlpaug.augmenter.char
  import nlpaug.augmenter.word
  import nlpaug.augmenter.sentence
  from pyinstrument import Profiler
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types