This is a base model from the SCUT-DLVCLab combining LiLT (Language-Independent Layout Transformer) with RoBERTa for English document understanding tasks. It processes both textual content and spatial layout information from documents. It is designed for researchers and developers working on layout-aware document AI.
Lilt Roberta En Base is a Foundation models & chat product. It focuses on understanding documents that combine text and layout information using a language model. Lilt Roberta En Base is an open-source project aimed at developers. The project is open source (MIT). It runs on the web and API.
Behind Lilt Roberta En Base is SCUT-DLVCLab, and the product first shipped in 2022. The project is developed in the open on GitHub with 366 stars.
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