SCUT-DLVCLab/lilt-roberta-en-base

Feature Extraction·SCUT-DLVCLab· 265.3K· 22

transformers mit Feature Extraction 130.8M params arxiv:2202.13669license:mitdeploy:azureregion:us

Language-Independent Layout Transformer - RoBERTa model by stitching a pre-trained RoBERTa (English) and a pre-trained Language-Independent Layout Transformer (LiLT) together. It was introduced in the paper LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding by Wang et al. and first released in this repository.

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# pull & run locally
pip install mlforge-sdk && mlforge pull SCUT-DLVCLab/lilt-roberta-en-base

Model details

Task

Feature Extraction

Provider

SCUT-DLVCLab

Framework

transformers

Parameters

130.8M

Size

998 MB

License

mit

Downloads

265.3K

Likes

Paper

arXiv:2202.13669

Updated

2023-08-31

About SCUT-DLVCLab/lilt-roberta-en-base

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