| from transformers import PretrainedConfig | |
| class SqueezeNetConfig(PretrainedConfig): | |
| model_type = "squeezenet_custom" | |
| def __init__(self, num_classes: int = 200, fire_dropout: float = 0.0, final_dropout: float = 0.50, **kwargs): | |
| self.num_classes = num_classes | |
| self.fire_dropout = fire_dropout | |
| self.final_dropout = final_dropout | |
| super().__init__(**kwargs) |