class_docstr: WaveGlow model (https://arxiv.org/abs/1811.00002) that is used to generate audio from mel spectrogram.
class_docstr_tok: ["WaveGlow","model","(","https",":","\/\/arxiv.org\/abs\/1811.00002",")","that","is","used","to","generate","audio","from","mel","spectrogram","."]
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.
      """
      list_of_models = []
      model = PretrainedModelInfo(
          pretrained_model_name="tts_en_waveglow_88m",
          location="https://api.ngc.nvidia.com/v2/models/nvidia/nemo/tts_waveglow_88m/versions/1.0.0/files/tts_waveglow.nemo",
          description="This model is trained on LJSpeech sampled at 22050Hz, and has been tested on generating female English voices with an American accent and Mandarin voices.",
          class_=cls,
          aliases=["WaveGlow-22050Hz", "tts_waveglow"],
      )
      list_of_models.append(model)
      return list_of_models
  
imports: import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig, open_dict
  from pytorch_lightning.loggers import TensorBoardLogger
  from nemo.collections.tts.losses.waveglowloss import WaveGlowLoss
  from nemo.collections.tts.models.base import GlowVocoder
  from nemo.collections.tts.parts.utils.helpers import OperationMode, waveglow_log_to_tb_func
  from nemo.core.classes import Exportable
  from nemo.core.classes.common import PretrainedModelInfo, typecheck
  from nemo.core.neural_types.elements import AudioSignal, LengthsType, LogDeterminantType, MelSpectrogramType, NormalDistributionSamplesType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.utils import logging, model_utils
label_desc: Use image node_id 11 for calling the WaveGlowModel obj's underlying member method code with example usage: obj.list_available_models(cls) and returns: list_of_models