File size: 326 Bytes
5fa1a76 |
1 2 3 4 5 6 |
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. |