class_docstr: Dialogue Nearest Neighbour Model identifies the intent of an utterance using the cosine similarity between sentence embeddings of the utterance and various label descriptions 
class_docstr_tok: ["Dialogue","Nearest","Neighbour","Model","identifies","the","intent","of","an","utterance","using","the","cosine","similarity","between","sentence","embeddings","of","the","utterance","and","various","label","descriptions"]
docstr: This method returns a list of pre-trained models 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","models","which","can","be","instantiated","directly","from","NVIDIA","'s","NGC","cloud",".","Returns",":","List","of","available","pre-trained","models","."]
code: def list_available_models(cls) -> Optional[PretrainedModelInfo]:
      """
      This method returns a list of pre-trained models which can be instantiated directly from NVIDIA's NGC cloud.
  
      Returns:
          List of available pre-trained models.
      """
      result = []
      return result
  
imports: import os
  from typing import Optional
  import numpy
  import torch
  import torch.nn.functional
  from omegaconf import DictConfig
  from pytorch_lightning import Trainer
  from transformers import AutoModel
  from nemo.collections.nlp.data.dialogue import DialogueSGDDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.assistant_data_processor import DialogueAssistantDataProcessor
  from nemo.collections.nlp.data.dialogue.data_processor.design_data_processor import DialogueDesignDataProcessor
  from nemo.collections.nlp.data.dialogue.dataset.dialogue_nearest_neighbour_dataset import DialogueNearestNeighbourDataset
  from nemo.collections.nlp.metrics.classification_report import ClassificationReport
  from nemo.collections.nlp.metrics.dialogue_metrics import DialogueGenerationMetrics
  from nemo.collections.nlp.models.nlp_model import NLPModel
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.utils import logging
label_desc: Use image node_id 14 for calling the DialogueNearestNeighbourModel obj's underlying member method code with example usage: obj.list_available_models(cls) and returns: result