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@@ -41,6 +41,19 @@ encoded_input = tokenizer(question, context, return_tensors='pt')
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  output = model(**encoded_input)
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  ```
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  ## BibTeX entry
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  ```tex
 
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  output = model(**encoded_input)
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  ```
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+ ## Model results
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+
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+ Extended experimentation can be found in Table 2 of [Hierarchical multimodal transformers for Multi-Page DocVQA](https://arxiv.org/pdf/2212.05935.pdf).
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+ You can also check the live leaderboard at the [RRC Portal](https://rrc.cvc.uab.es/?ch=17&com=evaluation&task=4).
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+ | Model | HF name | ANLS | APPA |
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+ |-----------------------------------------------------------------------------------|:--------------------------------------|:-------------:|:---------:|
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+ | [Bert-large](https://huggingface.co/rubentito/bert-large-mpdocvqa/tree/main) | rubentito/bert-large-mpdocvqa | 0.4183 | 51.6177 |
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+ | [Longformer-base](https://huggingface.co/rubentito/longformer-base-mpdocvqa) | rubentito/longformer-base-mpdocvqa | 0.5287 | 71.1696 |
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+ | [**BigBird ITC base**](https://huggingface.co/rubentito/bigbird-base-itc-mpdocvqa)| rubentito/bigbird-base-itc-mpdocvqa | 0.4929 | 67.5433 |
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+ | [LayoutLMv3 base](https://huggingface.co/rubentito/layoutlmv3-base-mpdocvqa) | rubentito/layoutlmv3-base-mpdocvqa | 0.4538 | 51.9426 |
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+ | [T5 base](https://huggingface.co/rubentito/t5-base-mpdocvqa) | rubentito/t5-base-mpdocvqa | 0.5050 | 0.0000 |
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+ | Hi-VT5 | TBA | 0.6201 | 79.23 |
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+
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  ## BibTeX entry
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  ```tex