src/evaluate/evaluator/text2text_generation.py [171:208]:
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    )
    def compute(
        self,
        model_or_pipeline: Union[
            str, "Pipeline", Callable, "PreTrainedModel", "TFPreTrainedModel"  # noqa: F821
        ] = None,
        data: Union[str, Dataset] = None,
        subset: Optional[str] = None,
        split: Optional[str] = None,
        metric: Union[str, EvaluationModule] = None,
        tokenizer: Optional[Union[str, "PreTrainedTokenizer"]] = None,  # noqa: F821
        strategy: Literal["simple", "bootstrap"] = "simple",
        confidence_level: float = 0.95,
        n_resamples: int = 9999,
        device: int = None,
        random_state: Optional[int] = None,
        input_column: str = "text",
        label_column: str = "label",
        generation_kwargs: dict = None,
    ) -> Tuple[Dict[str, float], Any]:
        result = super().compute(
            model_or_pipeline=model_or_pipeline,
            data=data,
            subset=subset,
            split=split,
            metric=metric,
            tokenizer=tokenizer,
            strategy=strategy,
            confidence_level=confidence_level,
            n_resamples=n_resamples,
            device=device,
            random_state=random_state,
            input_column=input_column,
            label_column=label_column,
            generation_kwargs=generation_kwargs,
        )

        return result
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