
# LayoutXLM
**Multimodal (text + layout/format + image) pre-training for document AI**

LayoutXLM is a multilingual variant of LayoutLMv2.

The documentation of this model in the Transformers library can be found [here](https://huggingface.co/docs/transformers/model_doc/layoutxlm).

[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://github.com/microsoft/unilm/tree/master/layoutxlm)
## Introduction
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.

[LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding](https://arxiv.org/abs/2104.08836)

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021
{"license": "cc-by-nc-sa-4.0"}
transformers pytorch layoutlmv2 arxiv:2104.08836 license:cc-by-nc-sa-4.0 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #layoutlmv2 #arxiv-2104.08836 #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 


# LayoutXLM
Multimodal (text + layout/format + image) pre-training for document AI

LayoutXLM is a multilingual variant of LayoutLMv2.

The documentation of this model in the Transformers library can be found here.

Microsoft Document AI | GitHub
## Introduction
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021
# LayoutXLM
Multimodal (text + layout/format + image) pre-training for document AI

LayoutXLM is a multilingual variant of LayoutLMv2.

The documentation of this model in the Transformers library can be found here.

Microsoft Document AI | GitHub ## Introduction
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021
TAGS
#transformers #pytorch #layoutlmv2 #arxiv-2104.08836 #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 
 # LayoutXLM
Multimodal (text + layout/format + image) pre-training for document AI

LayoutXLM is a multilingual variant of LayoutLMv2.

The documentation of this model in the Transformers library can be found here.

Microsoft Document AI | GitHub ## Introduction
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021
passage: TAGS
#transformers #pytorch #layoutlmv2 #arxiv-2104.08836 #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 
# LayoutXLM
Multimodal (text + layout/format + image) pre-training for document AI

LayoutXLM is a multilingual variant of LayoutLMv2.

The documentation of this model in the Transformers library can be found here.

Microsoft Document AI | GitHub## Introduction
LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUND dataset.

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021