| from transformers import PretrainedConfig | |
| class SiameseConfig(PretrainedConfig): | |
| model_type = "siamese" | |
| def __init__( | |
| self, | |
| **kwargs): | |
| super().__init__(**kwargs) | |
| siamese_config = SiameseConfig() | |
| siamese_config.save_pretrained('siamse_nn') |
| from transformers import PretrainedConfig | |
| class SiameseConfig(PretrainedConfig): | |
| model_type = "siamese" | |
| def __init__( | |
| self, | |
| **kwargs): | |
| super().__init__(**kwargs) | |
| siamese_config = SiameseConfig() | |
| siamese_config.save_pretrained('siamse_nn') |