       model_name_or_path: string indicating the version of the CLIP model to use. Available models are
            `"openai/clip-vit-base-patch16"`, `"openai/clip-vit-base-patch32"`, `"openai/clip-vit-large-patch14-336"`
            and `"openai/clip-vit-large-patch14"`,

    Raises:
        ModuleNotFoundError:
            If transformers package is not installed or version is lower than 4.10.0
        ValueError:
            If not all images have format [C, H, W]
        ValueError:
            If the number of images and captions do not match

    Example:
        >>> import torch
        >>> _ = torch.manual_seed(42)
        >>> from torchmetrics.functional.multimodal import clip_score
        >>> score = clip_score(torch.randint(255, (3, 224, 224)), "a photo of a cat", "openai/clip-vit-base-patch16")
        >>> score.detach()
        tensor(24.4255)

    r