how to get Confidence score or probability score of Pix2struct VQA model

How do we get the confidence score of predictions for pix2struct model as mentioned in the below code snippet in pred[0], how do we get the prediction scores or probability scores?

```
FILENAME = "XXX.pdf"
PAGE_NO = 1
DEVICE = "cuda" if torch.cuda.is_available() else "cpu"

model = psg.from_pretrained("google/pix2struct-docvqa-base").to(DEVICE)
processor = psp.from_pretrained("google/pix2struct-docvqa-large")

def convert_pdf_to_image(filename, page_no):
return convert_from_path(filename)[page_no-1]

image = convert_pdf_to_image(FILENAME, PAGE_NO)

inputs = processor(images=[image for _ in range(len(questions))], text=questions, return_tensors="pt").to(DEVICE)

pred=model.generate(**inputs)
print(processor.decode(pred[0],skip_special_tokens=True))
```