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' | |