| from facenet_pytorch import InceptionResnetV1 | |
| from transformers import PreTrainedModel | |
| from .deepfakeconfig import DeepFakeConfig | |
| class DeepFakeModel(PreTrainedModel): | |
| config_class = DeepFakeConfig | |
| def __init__(self, config): | |
| super().__init__(config) | |
| self.model = InceptionResnetV1( | |
| pretrained="vggface2", | |
| classify=True, | |
| num_classes=1, | |
| device=config.DEVICE | |
| ) | |
| DeepFakeConfig.register_for_auto_class() | |
| DeepFakeModel.register_for_auto_class("AutoModelForImageClassification") | |