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TableTransformer
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deep-learning/.DS_Store

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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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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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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.

deep-learning/Transformer-Tutorials/Table Transformer/Using_Table_Transformer_for_table_detection_and_table_structure_recognition.ipynb

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