LiLT
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jpWang
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Hi, I just wanted to know if it can be used as an object detection model too for detecting bounding Boxes etc for the documents. I have [asked a similar...
Hi, Just got my XFUND-ES finetuning job to work! While I wait, I am trying to work my way through the code to create an inference script. Would running the...
Hi! I like the idea of decoupling text and layout information to leverage existing pre-trained language models. I had some confusion when I was reading the paper. - Table 2...
I tried to reproduce the CORD results given in the paper, but I only managed to get an F1 score of ~0.62 on the test dataset. Is there any special...
Hi, just like to know if I can run this entirely on colab and how? many thanks!
Hello, amazing job ! I love the paradigm of decoupling the LM and the Layout model at first, before fine-tuning with joint training ! I've managed to port my LayoutXLM...
Let's say I have 1000s of domain specific documents in English. How can I Pretrain them on top of roberta-en + Lilt Based existing checkpoint.
First of all thanks, for the great work! My question, could these models be adapted to the task of Layout Analysis, so that we could use them in datasets like...
Thank you for sharing your great work! If I want to fine-tune on a custom dataset, what should be the steps? i.e. - What is input data format for training,...
Hello, Thanks for making the code available ! I was wondering if there was a lilt-only-large checkpoint available or a way to easily generate it ? I would like to...
