Transformers: State-of-the-Art Natural Language Processing
Central European University · New York University · +3 more institutions
Abstract
V4.10.0: LayoutLM-v2, LayoutXLM, BEiT LayoutLM-v2 and LayoutXLM Four new models are released as part of the LatourLM-v2 implementation: LayoutLMv2ForSequenceClassification, LayoutLMv2Model, LayoutLMv2ForTokenClassification and LayoutLMv2ForQuestionAnswering, in PyTorch. 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: Add LayoutLMv2 + LayoutXLM #12604 (@NielsRogge) Compatible…
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Authors
16Topics & keywords
- Transformer
- Computer science
- Architecture
- Question answering
- Software engineering
- Artificial intelligence
- Engineering
- Electrical engineering
- Quality Education