| from transformers import PretrainedConfig | |
| class SuaveMultitaskConfig(PretrainedConfig): | |
| model_type = "suave_multitask" | |
| def __init__( | |
| self, | |
| base_model_name="roberta-base", | |
| num_ai_classes=2, | |
| classifier_dropout=0.1, | |
| **kwargs, | |
| ): | |
| self.base_model_name = base_model_name | |
| self.num_ai_classes = num_ai_classes | |
| self.classifier_dropout = classifier_dropout | |
| super().__init__(**kwargs) | |