def METHOD_NAME(tmpdir):
    model = DummyClassifier()
    train_dl = DataLoader(DummyDataset())
    val_dl = DataLoader(DummyDataset())
    task = ClassificationTask(model, loss_fn=F.nll_loss)
    trainer = Trainer(fast_dev_run=True, default_root_dir=tmpdir)
    trainer.finetune(task, train_dl, val_dl, strategy=NoFreeze())