from transformers import PretrainedConfig | |
from typing import List | |
class MoEConfig(PretrainedConfig): | |
model_type = "moewrapper" # モデルの名前を命名? | |
torch_dtype = "float32", | |
def __init__( | |
self, | |
**kwargs, | |
): | |
super().__init__(**kwargs) | |
from transformers import PretrainedConfig | |
from typing import List | |
class MoEConfig(PretrainedConfig): | |
model_type = "moewrapper" # モデルの名前を命名? | |
torch_dtype = "float32", | |
def __init__( | |
self, | |
**kwargs, | |
): | |
super().__init__(**kwargs) | |