code: def hub_models(cls):
      return {
          "bart.base": "http://dl.fbaipublicfiles.com/fairseq/models/bart.base.tar.gz",
          "bart.large": "http://dl.fbaipublicfiles.com/fairseq/models/bart.large.tar.gz",
          "bart.large.mnli": "http://dl.fbaipublicfiles.com/fairseq/models/bart.large.mnli.tar.gz",
          "bart.large.cnn": "http://dl.fbaipublicfiles.com/fairseq/models/bart.large.cnn.tar.gz",
          "bart.large.xsum": "http://dl.fbaipublicfiles.com/fairseq/models/bart.large.xsum.tar.gz",
      }
  
imports: import logging
  from typing import Optional
  import torch
  import torch.nn
  from fairseq import utils
  from fairseq.models import register_model, register_model_architecture
  from fairseq.models.transformer import TransformerModel
  from fairseq.modules.transformer_sentence_encoder import init_bert_params
  from .hub_interface import BARTHubInterface
label_desc: Use image node_id 1 for calling the BARTModel obj's underlying member method code with example usage: obj.hub_models(cls) and returns: dict