| from transformers import PretrainedConfig | |
| class StormOracleConfig(PretrainedConfig): | |
| model_type = "storm_oracle" | |
| def __init__(self, | |
| in_channels: int = 3, | |
| image_size: int = 256, | |
| **kwargs): | |
| super().__init__(**kwargs) | |
| self.in_channels = in_channels | |
| self.image_size = image_size | |