code: def load_tf_hub_model(model_url: Text) -> Any:
      """Load model from cache if possible, otherwise from TFHub."""
      import os
      from tensorflow_hub.module_v2 import load as tfhub_load
  
      # needed to load the ConveRT model
      # noinspection PyUnresolvedReferences
      import tensorflow_text  # noqa: F401
  
      # required to take care of cases when other files are already
      # stored in the default TFHUB_CACHE_DIR
      try:
          return tfhub_load(model_url)
      except OSError:
          directory = io_utils.create_temporary_directory()
          os.environ["TFHUB_CACHE_DIR"] = directory
          return tfhub_load(model_url)
  
imports: from pathlib import Path
  import numpy
  from typing import Optional, Text, Dict, Any, Union, List, Tuple, TYPE_CHECKING
  import rasa.shared.utils.common
  import rasa.shared.utils.io
  import rasa.nlu.utils.bilou_utils
  from rasa.shared.constants import NEXT_MAJOR_VERSION_FOR_DEPRECATIONS
  from rasa.nlu.constants import NUMBER_OF_SUB_TOKENS
  import rasa.utils.io
  from rasa.utils.tensorflow.constants import LOSS_TYPE, RANKING_LENGTH, RENORMALIZE_CONFIDENCES, SIMILARITY_TYPE, EVAL_NUM_EXAMPLES, EVAL_NUM_EPOCHS, EPOCHS, SOFTMAX, MARGIN, AUTO, INNER, COSINE, SEQUENCE, CROSS_ENTROPY, CONSTRAIN_SIMILARITIES, MODEL_CONFIDENCE, TOLERANCE, CHECKPOINT_MODEL
  from rasa.utils.tensorflow.callback import RasaTrainingLogger, RasaModelCheckpoint
  from rasa.utils.tensorflow.data_generator import RasaBatchDataGenerator
  from rasa.utils.tensorflow.model_data import RasaModelData
  from rasa.shared.nlu.constants import SPLIT_ENTITIES_BY_COMMA
  from rasa.shared.exceptions import InvalidConfigException
label_desc: Use image node_id 5 for calling a global function with example usage: load_tf_hub_model(model_url) and returns: tfhub_load, tfhub_load