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 | |