| | --- |
| | license: mit |
| | language: |
| | - cs |
| | tags: |
| | - Document Question Answering |
| | --- |
| | # LayoutLMv2 Model Fine-tuned with CIVQA (EasyOCR) dataset |
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| | This is a fine-tuned version of the [LayoutLMv2 model](https://huggingface.co/microsoft/layoutlmv2-base-uncased), which was trained on Czech Invoice Visual Question Answering (CIVQA) datasets containing invoices in the Czech language. |
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| | This model enables Document Visual Question Answering on Czech invoices. |
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| | All invoices used in this dataset were obtained from public sources. Over these invoices, we were focusing on 15 different entities, which are crucial for processing the invoices. |
| | - Invoice number |
| | - Variable symbol |
| | - Specific symbol |
| | - Constant symbol |
| | - Bank code |
| | - Account number |
| | - ICO |
| | - Total amount |
| | - Invoice date |
| | - Due date |
| | - Name of supplier |
| | - IBAN |
| | - DIC |
| | - QR code |
| | - Supplier's address |
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| | You can find more information about this model in this [paper](https://nlp.fi.muni.cz/raslan/raslan23.pdf#page=31). |
