from typing import Dict, List, Optional, Tuple

import timm
import torch
from pytorch_lightning import LightningModule


class TemplateClassifier(LightningModule):
    def __init__(self, config: dict):
        super().__init__()
        
        # NN architecture
        self.backbone = timm.create_model(
            #SPECIFY HERE YOUR MODEL 
        )

    def forward(self, x: torch.Tensor) -> torch.Tensor:
        # WRITE YOU CODE HERE 
        predictions=None
        return predictions