configuration_translation_transformer.py

from transformers import PretrainedConfig

class TranslationTransformerConfig(PretrainedConfig):
    model_type = "translation_transformer"  # matches your config.json

    def __init__(
        self,
        vocab_size=32000,
        d_model=256,
        nhead=8,
        num_encoder_layers=3,
        num_decoder_layers=3,
        dim_feedforward=512,
        dropout=0.1,
        max_length=128,
        bos_token_id=2,
        eos_token_id=3,
        pad_token_id=0,
        decoder_start_token_id=2,
        **kwargs
    ):
        """
        Configuration class for TranslationTransformerModel
        """
        super().__init__(
            bos_token_id=bos_token_id,
            eos_token_id=eos_token_id,
            pad_token_id=pad_token_id,
            decoder_start_token_id=decoder_start_token_id,
            **kwargs
        )

        self.vocab_size = vocab_size
        self.d_model = d_model
        self.nhead = nhead
        self.num_encoder_layers = num_encoder_layers
        self.num_decoder_layers = num_decoder_layers
        self.dim_feedforward = dim_feedforward
        self.dropout = dropout
        self.max_length = max_length