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Sharka/CIVQA_DVQA_LayoutLMv2
CIVQA_DVQA_LayoutLMv2 is a document question answering model from Sharka. Use it for the document question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
This is a fine-tuned version of the LayoutLMv2 model, which was trained on Czech Invoice Visual Question Answering (CIVQA) dataset containing invoices in the Czech language as well as on the Data Visualizations via Qu…
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From the Hugging Face model README
This is a fine-tuned version of the LayoutLMv2 model, which was trained on Czech Invoice Visual Question Answering (CIVQA) dataset containing invoices in the Czech language as well as on the Data Visualizations via Question Answering ([DVQA] (https://paperswithcode.com/dataset/dvqa)) dataset.
This model enables Document Visual Question Answering on Czech invoices with the use of the existing DVQA dataset.
Regarding the Czech invoices, we focused on 10 different entities, which are crucial for processing the invoices.
You can find more information about this model in this paper.