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Home/Models/LayoutLMv3 - Multimodal Document AI
ownerVikram Malhotra
organizationMicrosoft Corporatio...
ORGANISATION

LayoutLMv3 - Multimodal Document AI

A pre-trained multimodal Transformer model for document AI, integrating unified text and image masking for tasks such as form understanding, receipt processing, and document layout analysis.

About Model

LayoutLMv3 is a pre-trained multimodal Transformer designed for document AI, utilizing unified text and image masking to enhance document understanding. Its unified architecture and training objectives make it a versatile, general-purpose model that can be fine-tuned for both text-centric and image-centric tasks. These include form and receipt understanding, document visual question answering, document layout analysis, and classification. Developed as an improvement over its predecessors, LayoutLMv3 is well-suited for applications in OCR, automated document processing, and AI-driven document workflows.

LayoutLMv3 - Multimodal Document AI

Metadata Metadata

Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou

Transformers

Other

Open

Microsoft Corporation (India) Pvt. Ltd.

Sector Agnostic

20/08/25 11:44:40

Vikram Malhotra

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 19
  • File Size 0
  • Views 1,169

Tags Tags

  • Transformers
  • PyTorch
  • tensorflow
  • ONNX
  • safetensors
  • English
  • layoutlmv3
  • inference endpoints

License Control License Control

Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

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