layoutlmv2-base-uncased-finetuned-vi-infovqa This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 4.3332 Model description More information…

layoutlmv2-base-uncased-finetuned-infovqa This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 2.0870 Model description More information…

layoutlmv2-base-uncased-finetuned-docvqa This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set: Loss: 1.1940 Model description More information…

frizwankhan/entity-linking-model-final Document Question Answering • Updated Jan 13, 2022 • 71 Source link

LayoutLM for Invoices This is a fine-tuned version of the multi-modal LayoutLM model for the task of question answering on invoices and other documents. It has been fine-tuned on…

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…

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…