processor = AutoProcessor.from_pretrained("microsoft/layoutlmv3-base", apply_ocr=False)
        >>> model = TFAutoModel.from_pretrained("microsoft/layoutlmv3-base")

        >>> dataset = load_dataset("nielsr/funsd-layoutlmv3", split="train")
        >>> example = dataset[0]
        >>> image = example["image"]
        >>> words = example["tokens"]
        >>> boxes = example["bboxes"]

        >>> encoding = processor(image, words, boxes=boxes, return_tensors="tf")

        >>> outputs = model(**encoding)
        >>> last_hidden_states = outputs.last_hidden_state
        ```)