org/val2017/000000039769.jpg"
        >>> image = Image.open(requests.get(url, stream=True).raw)

        >>> # training
        >>> text = "How many cats are in the picture?"
        >>> label = "2"
        >>> inputs = processor(images=image, text=text, return_tensors="pt")
        >>> labels = processor(text=label, return_tensors="pt").input_ids

        >>> inputs["labels"] = labels
        >>> outputs = model(**inputs)
        >>> loss = outputs.loss
        >>> loss.backward()

        >>> # inference
        >>> text = "How many cats are in the picture?"
        >>> inputs = processor(images=image, text=text, return_tensors="pt")
        >>> outputs = model.generate(**inputs)
        >>> print(processor.decode(outputs[0], skip_special_tokens=True))
        2
        ```Na