| from transformers import PretrainedConfig | |
| class DocuNetConfig(PretrainedConfig): | |
| model_type = "docunet" | |
| def __init__(self, num_classes=6, load_weights=False, trainable_layers=2, **kwargs): | |
| self.num_classes = num_classes | |
| self.load_weights = load_weights | |
| self.trainable_layers = trainable_layers | |
| super().__init__(**kwargs) | |
| def get_text_config(self, decoder=False) -> PretrainedConfig: | |
| return super().get_text_config(decoder) | |