    def load_obj(cls, path: str = "saved_model", **kwargs):
        """
        *Initialize `dlt.TranslationModel` from the torch object and tokenizer
        saved with `dlt.TranslationModel.save_obj`*

        {{params}}
        {{path}} The directory where your torch model and tokenizer are stored
        """
        config_prev = json.load(open(os.path.join(path, "dlt_config.json"), "rb"))
        config_prev.update(kwargs)
        return cls(
            model_or_path=os.path.join(path, "weights.pt"),
            tokenizer_path=path,
            **config_prev,
        )
*Initialize `dlt.TranslationModel` from the torch object and tokenizer
saved with `dlt.TranslationModel.save_obj`*

{{params}}
{{path}} The directory where your torch model and tokenizer are stored
dl_translate/_translation_model.py