| from transformers.configuration_utils import PretrainedConfig | |
| class BASNetConfig(PretrainedConfig): | |
| model_type = "basnet" | |
| def __init__( | |
| self, | |
| n_channels: int = 3, | |
| kernel_size: int = 3, | |
| **kwargs, | |
| ) -> None: | |
| super().__init__(**kwargs) | |
| self.n_channels = n_channels | |
| self.kernel_size = kernel_size | |