File type: Emotional archive Status: Password-protected Password: the moment you knew
```text MIT License
import logging import sys
def get_dataloaders( self, split: float = 0.8, batch_size: int = 32, shuffle: bool = True, num_workers: int = 0, seed: int = 42, ) -> Tuple[DataLoader, DataLoader]: torch.manual_seed(seed) dataset = self.get_dataset() train_len = int(len(dataset) * split) val_len = len(dataset) - train_len train_set, val_set = random_split(dataset, [train_len, val_len]) Noviyourbae.zip