| from transformers import PretrainedConfig | |
| import torch | |
| class DeepFakeConfig(PretrainedConfig): | |
| model_type = "ResNet" | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.DEVICE = 'cuda:0' if torch.cuda.is_available() else 'cpu' | |
| from transformers import PretrainedConfig | |
| import torch | |
| class DeepFakeConfig(PretrainedConfig): | |
| model_type = "ResNet" | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| self.DEVICE = 'cuda:0' if torch.cuda.is_available() else 'cpu' | |