def get_runnable(bento_model: bentoml.Model) -> type[bentoml.Runnable]:
    """
    Private API: use :obj:`~bentoml.Model.to_runnable` instead.
    """

    class EasyOCRRunnable(bentoml.Runnable):
        SUPPORTED_RESOURCES = ("nvidia.com/gpu", "cpu")
        SUPPORTS_CPU_MULTI_THREADING = True

        def __init__(self):
            super().__init__()

            self.model = load_model(bento_model)

            self.predict_fns: dict[str, t.Callable[..., t.Any]] = {}
            for method_name in bento_model.info.signatures:
                self.predict_fns[method_name] = getattr(self.model, method_name)

    def add_runnable_method(method_name: str, options: ModelSignature):
        def _run(self: EasyOCRRunnable, *args: t.Any, **kwargs: t.Any) -> t.Any:
            return self.predict_fns[method_name](*args, **kwargs)

        EasyOCRRunnable.add_method(
            _run,
            name=method_name,
            batchable=options.batchable,
            batch_dim=options.batch_dim,
            input_spec=options.input_spec,
            output_spec=options.output_spec,
        )

    for method_name, options in bento_model.info.signatures.items():
        add_runnable_method(method_name, options)

    return EasyOCRRunnable
Private API: use :obj:`~bentoml.Model.to_runnable` instead.
src/bentoml/_internal/frameworks/easyocr.py