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layoutlmv2-base-uncased
aslessor/layoutlmv2-base-uncased
layoutlmv2-base-uncased is a other model from aslessor. Use it for the other task on the model card, and read the license before you ship it in a product. It is set up for generic. The card lists the license as cc-by-nc-sa-4.0.
Multimodal (text + layout/format + image) pre-training for document AI
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At a glance
- Task
- other
- Library
- generic
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv2
- Access
- Public
- Created
- Dec 31, 2023
- Updated
- Jan 5, 2024
- SHA
- 01a1c196
Model card
From the Hugging Face model README
LayoutLMv2
Multimodal (text + layout/format + image) pre-training for document AI
The documentation of this model in the Transformers library can be found here.
Microsoft Document AI | GitHub
Introduction
LayoutLMv2 is an improved version of LayoutLM with new pre-training tasks to model the interaction among text, layout, and image in a single multi-modal framework. It outperforms strong baselines and achieves new state-of-the-art results on a wide variety of downstream visually-rich document understanding tasks, including , including FUNSD (0.7895 → 0.8420), CORD (0.9493 → 0.9601), SROIE (0.9524 → 0.9781), Kleister-NDA (0.834 → 0.852), RVL-CDIP (0.9443 → 0.9564), and DocVQA (0.7295 → 0.8672).
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou, ACL 2021
Examples & Guides
Warnings
The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use LayoutLMv2ImageProcessor instead.
- Task
- other
- Library
- generic
- Type
- layoutlmv2
- License
- cc-by-nc-sa-4.0
- Languages
- en
- Created
- Dec 31, 2023
- Updated
- Jan 5, 2024