Overview
The LayoutLMV2 model was proposed in LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding by Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu,
Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou. LayoutLMV2 improves LayoutLM to obtain
state-of-the-art results across several document image understanding benchmarks:
information extraction from scanned documents: the FUNSD dataset (a
  collection of 199 annotated forms comprising more than 30,000 words), the CORD
  dataset (a collection of 800 receipts for training, 100 for validation and 100 for testing), the SROIE dataset (a collection of 626 receipts for training and 347 receipts for testing)
  and the Kleister-NDA dataset (a collection of non-disclosure
  agreements from the EDGAR database, including 254 documents for training, 83 documents for validation, and 203
