code: def load_default_model_sentencizer(lang):
      
      loading_start = time.time()
      lang_class = get_lang_class(lang)
      nlp = lang_class()
      nlp.add_pipe(nlp.create_pipe('sentencizer'))
      loading_end = time.time()
      loading_time = loading_end - loading_start
      return nlp, loading_time, lang + "_default_" + 'sentencizer'
docs: Load a generic spaCy model and add the sentencizer for sentence tokenization