class_docstr: Llama Decoder.
  
  This decoder is initialized with the pretrained model from Hugging Face.
code: def __init__(
      self,
      opt: Opt,
      decoder: LlamaModel,
      padding_idx: Optional[int] = None,
      start_idx: Optional[int] = None,
  ):
      super().__init__()
      self.model = decoder
      self.padding_idx = padding_idx
      self.start_idx = start_idx
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  import torch
  from parlai.agents.hugging_face.dict import LlamaDictionaryAgent, _init_llama_path
  from parlai.core.torch_generator_agent import TorchGeneratorAgent, TorchGeneratorModel
  from parlai.core.torch_classifier_agent import TorchClassifierAgent
  from parlai.utils.torch import IdentityLayer, padded_tensor
  from parlai.agents.transformer.transformer import _check_positional_embeddings
  import parlai.utils.logging
label_desc: Use image node_id 1 to create a new ParlaiLlamaDecoder object from inherited base classes: torch.nn with example: obj = ParlaiLlamaDecoder(opt, decoder, padding_idx, start_idx)