code: def __init__(self, num_classes):
      super().__init__()
      self.model = timm.create_model("resnet18", pretrained=True)
      n_features = self.model.fc.in_features
      self.model.fc = nn.Linear(n_features, num_classes)
  
file_path: tez/examples/image/flower_inference.py
imports: import glob
  import os
  import albumentations
  import numpy
  import pandas
  import timm
  import torch.nn
  from tez import Tez, TezConfig
  from tez.datasets import ImageDataset
label_desc: Use image node_id 1 to create a new FlowerModel object from inherited base classes: nn with example: obj = FlowerModel(num_classes)