code: def load_ordering_model():
      model = LayoutLMv3ForSequenceClassification.from_pretrained(
          settings.ORDERER_MODEL_NAME,
          torch_dtype=settings.MODEL_DTYPE,
      ).to(settings.TORCH_DEVICE_MODEL)
      model.eval()
      return model
  
file_path: pdf-to-markdown/marker/ordering.py
imports: from copy import deepcopy
  from typing import List
  import torch
  import sys, os
  from marker.extract_text import convert_single_page
  from transformers import LayoutLMv3ForSequenceClassification, LayoutLMv3Processor
  from PIL import Image
  import io
  from marker.schema import Page
  from marker.settings import settings
label_desc: Use image node_id 1 for calling a global function with example usage: load_ordering_model() and returns: model