code: def get_fasttext_model(
      models_storage: Union[pathlib.Path, str, None] = None,
      use_cache=False,
  ):
      """Return fasttext model."""
      if use_cache:
          return _get_fasttext_model(models_storage)
      return _get_fasttext_model.__wrapped__(models_storage)
  
file_path: deepchecks/deepchecks/nlp/utils/text_properties_models.py
imports: import logging
  import pathlib
  import warnings
  from contextlib import contextmanager
  from functools import lru_cache
  from importlib import import_module
  from typing import Optional, Union
  import requests
  from nltk import corpus
  from transformers.utils import logging
label_desc: Use image node_id 8 for calling a global function with example usage: get_fasttext_model(models_storage, use_cache) and returns: _get_fasttext_model, _get_fasttext_model