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@@ -63,14 +63,6 @@ It achieves the following results on the evaluation set:
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  ## References
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- ### Other models
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-
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- - LayoutXLM base
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- - [Document Understanding model (at line level)](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384)
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- - LiLT base
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- - [Document Understanding model (at paragraph level)](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512)
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- - [Document Understanding model (at line level)](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384)
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-
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  ### Blog posts
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  - Layout XLM base
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.10.1
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  - Tokenizers 0.13.2
 
 
 
 
 
 
 
 
 
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  ## References
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  ### Blog posts
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  - Layout XLM base
 
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  - Pytorch 1.10.0+cu111
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  - Datasets 2.10.1
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  - Tokenizers 0.13.2
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+
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+ ## Other models
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+ - Line level
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+ - [Document Understanding model (finetuned LiLT base at line level on DocLayNet base)](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-linelevel-ml384) (accuracy | tokens: 85.84% - lines: 91.97%)
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+ - [Document Understanding model (finetuned LayoutXLM base at line level on DocLayNet base)](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-linelevel-ml384) (accuracy | tokens: 93.73% - lines: ...)
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+ - Paragraph level
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+ - [Document Understanding model (finetuned LiLT base at paragraph level on DocLayNet base)](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512) (accuracy | tokens: 86.34% - paragraphs: 68.15%)
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+ - [Document Understanding model (finetuned LayoutXLM base at paragraph level on DocLayNet base)](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512) (accuracy | tokens: 96.93% - paragraphs: 86.55%)