>>> from transformers import AutoProcessor, FlavaModel

        >>> model = FlavaModel.from_pretrained("{0}")
        >>> processor = AutoProcessor.from_pretrained("{0}")

        >>> inputs = processor(
        ...     text=["a photo of a cat", "a photo of a dog"], max_length=77, padding="max_length", return_tensors="pt"
        ... )
        >>> text_features = model.get_text_features(**inputs)
        ```)