Government Of India
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LayoutLM-Document-QA - Visual Question Answering for Documents
A fine-tuned version of LayoutLM for document-based question answering, trained on SQuAD2.0 and DocVQA to extract answers from scanned documents, invoices, and financial reports
About Model
LayoutLM-Document-QA is a fine-tuned multimodal Transformer model based on LayoutLM, optimized for document question-answering tasks. It processes both text and layout information to extract answers from scanned documents, invoices, financial reports, and other structured document formats. Trained on datasets such as SQuAD2.0 and DocVQA, this model enables accurate extraction of key information from document images using OCR-based workflows. LayoutLM-Document-QA is ideal for automating financial analysis, document search, and AI-driven document processing tasks, enhancing efficiency in enterprise and administrative workflows.
LayoutLM-Document-QA - Visual Question Answering for Documents
Metadata
MIT
Impira
Document Question Answering
N.A.
Open
Sector Agnostic
12/03/25 06:35:04
0
Activity Overview
0
18 
0 
912
Tags
- Transformers
- PyTorch
- tensorflow
- safetensors
- English
- layoutlm
- inference endpoints
License Control
MIT
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