Method update_from_dict

python/fedml/model/nlp/model_args.py:86–91

(self, new_values)

    skip_special_tokens: bool = True

    def update_from_dict(self, new_values):
        if isinstance(new_values, dict):
            for key, value in new_values.items():
                setattr(self, key, value)
        else:
            raise (TypeError(f"{new_values} is not a Python dict."))

    def get_args_for_saving(self):
        args_for_saving = {