from transformers import PretrainedConfig | |
class CustomConfig(PretrainedConfig): | |
model_type = "custom_model" | |
def __init__(self, | |
transformer_type = "microsoft/graphcodebert-base", | |
transformer_output_dim = 768, | |
**kwargs): | |
super().__init__(**kwargs) | |
self.transformer_type = transformer_type | |
self.transformer_output_dim = transformer_output_dim | |