code: def blip_nlvr(pretrained="", **kwargs):
      model = BLIP_NLVR(**kwargs)
      if pretrained:
          model, msg = load_checkpoint(model, pretrained)
          print("missing keys:")
          print(msg.missing_keys)
      return model
  
file_path: blip/models/blip_nlvr.py
imports: from models.med import BertConfig
  from models.nlvr_encoder import BertModel
  from models.vit import interpolate_pos_embed
  from models.blip import create_vit, init_tokenizer, is_url
  from timm.models.hub import download_cached_file
  import torch
  from torch import nn
  import torch.nn.functional
  from transformers import BertTokenizer
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: blip_nlvr(pretrained) and returns: model