| ).convert("RGB") | |
| encoding = processor( | |
| image, return_tensors="pt" | |
| ) # you can also add all tokenizer parameters here such as padding, truncation | |
| print(encoding.keys()) | |
| dict_keys(['input_ids', 'token_type_ids', 'attention_mask', 'bbox', 'image']) | |
| Use case 2: document image classification (training, inference) + token classification (inference), apply_ocr=False | |
| In case one wants to do OCR themselves, one can initialize the image processor with apply_ocr set to | |
| False. |