from transformers import PretrainedConfig | |
class avGFPConfig(PretrainedConfig): | |
model_type = "onehot_cnn" | |
def __init__( | |
self, | |
vocab_size: int = 20, | |
kernel_size: int = 5, | |
input_size: int = 237, | |
**kwargs | |
): | |
self.vocab_size = vocab_size | |
self.kernel_size = kernel_size | |
self.input_size = input_size | |
super().__init__(**kwargs) |