code: def build_model_for_eval(config, pretrained_weights):
      model, _ = build_model_from_cfg(config, only_teacher=True)
      dinov2_utils.load_pretrained_weights(
          model, pretrained_weights, "teacher"
      )
      model.eval()
      model.cuda()
      return model
  
file_path: dinov2/dinov2/eval/setup.py
imports: import argparse
  from typing import Any, List, Optional, Tuple
  import torch
  import torch.backends.cudnn
  from dinov2.models import build_model_from_cfg
  from dinov2.utils.config import setup
  import dinov2.utils.utils
label_desc: Use image node_id 3 for calling a global function with example usage: build_model_for_eval(config, pretrained_weights) and returns: model