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- **Self-attention with 2D Relative Positional Encoding in Polar Coordinates**: This allows the model to effectively process the layout of documents in a polar coordinate system, which is particularly useful for documents with complex layouts (invoices, financial documents, forms, etc.).
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- **No vision feature**: The model does not rely on visual features extracted from images, focusing solely on text and layout information.
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For more technical details, see the [DocPolarBERT paper on arXiv](https://arxiv.org/abs/2507.08606).
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## Pre-trained Model
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- **Self-attention with 2D Relative Positional Encoding in Polar Coordinates**: This allows the model to effectively process the layout of documents in a polar coordinate system, which is particularly useful for documents with complex layouts (invoices, financial documents, forms, etc.).
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- **No vision feature**: The model does not rely on visual features extracted from images, focusing solely on text and layout information.
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For more technical details, see the [DocPolarBERT paper on arXiv](https://arxiv.org/abs/2507.08606) and the [github repo](https://github.com/buthaya/docpolarbert/tree/main).
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## Pre-trained Model
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