code: def get_vocabulary(mixture_or_task_name=None):
      """Get the appropriate value for the utils.run.vocabulary argument.
  
      Args:
        mixture_or_task_name: string, an identifier for a Mixture or Task in the
          appropriate registry. Must be specified via gin.
  
      Returns:
        Either a single seqio.vocabularies.Vocabulary or a tuple of
        seqio.vocabularies.Vocabulary for inputs and targets.
      """
      return model_utils.get_vocabulary(mixture_or_task_name)
  
file_path: text-to-text-transfer-transformer/t5/models/mesh_transformer.py
imports: import functools
  from absl import logging
  import gin
  import mesh_tensorflow.transformer.dataset
  import seqio
  from t5.models import utils
  import tensorflow.compat.v1
  import tensorflow_datasets
label_desc: Use image node_id 5 for calling a global function with example usage: get_vocabulary(mixture_or_task_name) and returns: model_utils