Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
-
Updated
Nov 9, 2024 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A toolbox of ocr models and algorithms based on MindSpore
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Add a description, image, and links to the layoutxlm topic page so that developers can more easily learn about it.
To associate your repository with the layoutxlm topic, visit your repo's landing page and select "manage topics."