model.py

import torch
import torchvision

from torch import nn

def create_densenet_model(
    num_classes: int=3,
    seed: int=42):

  weights = torchvision.models.EfficientNet_V2_S_Weights.DEFAULT
  model = torchvision.models.efficientnet_v2_s(weights=weights).to("cpu")
  auto_transform = weights.transforms()

  for params in model.parameters():
    params.requires_grad = False

  model.classifier = nn.Sequential(
      nn.Dropout(p=0.3,inplace=True),
      nn.Linear(1280,3)
  )

  return model, auto_transform