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Table Transformer/README.md

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# Table Transformer notebooks
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This folder contains a notebook to illustrate inference with Table Transformer to detect tables in PDFs and perform table structure recognition.
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This folder contains notebooks to illustrate inference with Table Transformer to detect tables in PDFs and perform table structure recognition.
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Note that the Table Transformer is identical to the DETR object detection model, which means that fine-tuning Table Transformer on custom data
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can be done as shown in the notebooks found in [this folder](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DETR).
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can be done as shown in the notebooks found in [this folder](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/DETR) - make sure to update the model and corresponding image processor.
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The only difference is that the Table Transformer applies a "normalize before" operation, which means that layernorms are applied before,
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rather than after MLPs/attention.
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rather than after MLPs/attention compared to DETR.
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It's recommended to use the [last notebook](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Table%20Transformer/Inference_with_Table_Transformer_(TATR)_for_parsing_tables.ipynb) which leverages the right image processing settings.

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