code: def load_texify_model():
      texify_model = load_model(
          checkpoint=settings.TEXIFY_MODEL_NAME,
          device=settings.TORCH_DEVICE_MODEL,
          dtype=settings.TEXIFY_DTYPE,
      )
      return texify_model
  
imports: import io
  from copy import deepcopy
  from functools import partial
  from typing import List
  import torch
  from texify.inference import batch_inference
  from texify.model.model import load_model
  from texify.model.processor import load_processor
  import re
  from PIL import Image, ImageDraw
  from marker.bbox import should_merge_blocks, merge_boxes
  from marker.debug.data import dump_equation_debug_data
  from marker.settings import settings
  from marker.schema import Page, Span, Line, Block, BlockType
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: load_texify_model() and returns: texify_model