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This model is the combined camembert-base model, with the pretrained lilt checkpoint from the paper "LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding", with the visual backbone built from the pretrained checkpoint "microsoft/dit-base".
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Original repository: https://github.com/jpWang/LiLT
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To use it, it is necessary to fork the modeling and configuration files from the original repository, and load the pretrained model from the corresponding classes (LiLTRobertaLikeVisionConfig, LiLTRobertaLikeVisionForRelationExtraction, LiLTRobertaLikeVisionForTokenClassification, LiLTRobertaLikeVisionModel).
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This model is the combined camembert-base model, with the pretrained lilt checkpoint from the paper "LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding", with the visual backbone built from the pretrained checkpoint "microsoft/dit-base".
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*Note:* This model should be fine-tuned, and loaded with the modeling and config files from the branch `improve-dit`.
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Original repository: https://github.com/jpWang/LiLT
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To use it, it is necessary to fork the modeling and configuration files from the original repository, and load the pretrained model from the corresponding classes (LiLTRobertaLikeVisionConfig, LiLTRobertaLikeVisionForRelationExtraction, LiLTRobertaLikeVisionForTokenClassification, LiLTRobertaLikeVisionModel).
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