code: def __init__(self, config):
      super(LLaMAVIDMetaModel, self).__init__(config)
  
      if hasattr(config, "mm_vision_tower"):
          self.vision_tower = build_vision_tower(
              config, delay_load=True
          )
          self.mm_projector = build_vision_projector(config)
  
imports: from abc import ABC, abstractmethod
  import os
  import json
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import BertTokenizer
  from transformers.models.bert.modeling_bert import BertLMHeadModel
  from .qformer import BertConfig
  from .qformer import BertLMHeadModel
  from .multimodal_encoder.builder import build_vision_tower
  from .multimodal_projector.builder import build_vision_projector
  from llamavid.constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
label_desc: Use image node_id 1 to create a new LLaMAVIDMetaModel object  with example: obj = LLaMAVIDMetaModel(config)