docstr: This method returns a list of pre-trained model which can be instantiated directly from NVIDIA's NGC cloud.
  Returns:
      List of available pre-trained models.
docstr_tok: ["This","method","returns","a","list","of","pre-trained","model","which","can","be","instantiated","directly","from","NVIDIA","'s","NGC","cloud",".","Returns",":","List","of","available","pre-trained","models","."]
code: def list_available_models(cls) -> "List[PretrainedModelInfo]":
      """
      This method returns a list of pre-trained model which can be instantiated directly from NVIDIA's NGC cloud.
      Returns:
          List of available pre-trained models.
      """
      # recursively walk the subclasses to generate pretrained model info
      list_of_models = (
          model_utils.resolve_subclass_pretrained_model_info(cls)
      )
      return list_of_models
  
imports: from abc import ABC, abstractmethod
  from typing import List, Union
  import hydra
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Trainer
  from nemo.collections.asr.metrics.audio import AudioMetricWrapper
  from nemo.core.classes import ModelPT
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 14 for calling the AudioToAudioModel obj's underlying member method code with example usage: obj.list_available_models(cls) and returns: list_of_models