from transformers import PretrainedConfig | |
class EmotionClassifierConfig(PretrainedConfig): | |
model_type = "hubert" | |
def __init__( | |
self, | |
hidden_size_lstm=128, | |
num_classes=6, | |
**kwargs, | |
): | |
super().__init__(**kwargs) | |
self.hidden_size_lstm = hidden_size_lstm | |
self.num_classes = num_classes | |