layoutlmv2-base-uncased_finetuned_docvqa_v2 This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset. Model description More information needed Intended uses & limitations More information needed…

davanstrien/testwebhook Document Question Answering • Updated Jan 31, 2023 • 1 Source link

Donut (base-sized model, fine-tuned on DocVQA) Donut model fine-tuned on DocVQA. It was introduced in the paper OCR-free Document Understanding Transformer by Geewok et al. and first released in…

pardeepSF/layoutlm-vqa Document Question Answering • Updated Oct 18, 2022 • 62 • 1 Source link

xhyi/layoutlmv3_docvqa_t11c5000 Document Question Answering • Updated Mar 20, 2023 • 466 • 4 Source link

LayoutLM for Visual Question Answering This is a fine-tuned version of the multi-modal LayoutLM model for the task of question answering on documents. It has been fine-tuned using both…

layoutlmv2-large-uncased-finetuned-vi-infovqa This model is a fine-tuned version of microsoft/layoutlmv2-large-uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 8.5806 Model description More information…

layoutlmv2-large-uncased-finetuned-infovqa This model is a fine-tuned version of microsoft/layoutlmv2-large-uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.2207 Model description More information…