Comments (1)
Since DocFormer is an encoder, I think you can surely use it for your question answering task. You need to add a code for encoding the question and attach a prediction head for the same.
I think this link can help you with it, since conceptually there are a lot of similarity between them https://github.com/uakarsh/latr
Hope this helps
Regards,
Akarsh
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Related Issues (20)
- Reference code of pre-training tasks HOT 4
- [Errno 2] No such file or directory: 'rvl_cdip_dataset.csv'
- NER task HOT 4
- Predictions are wrong. HOT 1
- can you provide visual question answering task code HOT 1
- Unable to convert model to onnx HOT 3
- DocFormer for Token Classification. HOT 3
- Shape mismatch during sanity check HOT 1
- finetune the Docformer HOT 8
- Pre-trained models HOT 5
- Error in Example: Please provide the bounding box and words or pass the argument "use_ocr" = True HOT 1
- Using pre-trained models HOT 17
- Inference for token classification. HOT 1
- We can not find DocFormer_For_IR in modeling.py and modeling_l.py HOT 1
- Permission Denied Pretraining Weights HOT 2
- NotImplementedError: Support for `validation_epoch_end` has been removed in v2.0.0. `DocFormer` implements this method HOT 2
- pre-training code tutorial HOT 3
- The pre-trained weight link is invalid HOT 1
- DocFormerv2 HOT 1
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