configuration_approxdumb.py

from transformers import PretrainedConfig

class ApproxDumbConfig(PretrainedConfig):
    model_type = "approxdumb"

    def __init__(
        self,
        vocab_size=11,
        d_model=6,
        max_len=8,
        pad_token_id=0,
        bos_token_id=1,
        eos_token_id=2,
        **kwargs
    ):
        self.vocab_size = vocab_size
        self.d_model = d_model
        self.max_len = max_len
        super().__init__(
            pad_token_id=pad_token_id,
            bos_token_id=bos_token_id,
            eos_token_id=eos_token_id,
            **kwargs
        )