    def save_obj(self, path: str = "saved_model") -> None:
        """
        *Saves your model as a torch object and save your tokenizer.*

        {{params}}
        {{path}} The directory where you want to save your model and tokenizer
        """
        os.makedirs(path, exist_ok=True)
        torch.save(self._transformers_model, os.path.join(path, "weights.pt"))
        self._tokenizer.save_pretrained(path)

        dlt_config = dict(model_family=self.model_family)
        json.dump(dlt_config, open(os.path.join(path, "dlt_config.json"), "w"))
*Saves your model as a torch object and save your tokenizer.*

{{params}}
{{path}} The directory where you want to save your model and tokenizer
dl_translate/_translation_model.py