| from transformers import PretrainedConfig | |
| class MyConfig(PretrainedConfig): | |
| model_type = "my_model" | |
| def __init__(self, size: int = 512, **kwargs): | |
| super().__init__(**kwargs) | |
| self.size = size | |
| from transformers import PretrainedConfig | |
| class MyConfig(PretrainedConfig): | |
| model_type = "my_model" | |
| def __init__(self, size: int = 512, **kwargs): | |
| super().__init__(**kwargs) | |
| self.size = size | |