| encoding = processor(image, question, return_tensors="pt") | |
| print(encoding.keys()) | |
| dict_keys(['input_ids', 'token_type_ids', 'attention_mask', 'bbox', 'image']) | |
| Use case 5: visual question answering (inference), apply_ocr=False | |
| For visual question answering tasks (such as DocVQA), you can provide a question to the processor. |