LiLT
LiLT copied to clipboard
jpWang
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
just wondering how to train the pre-train model from scratch. Does this repo contain pretraining code?
After I have installed the conda environment, I use conda-pack package the env and transfer to another linux gpu server which can not access the Internet（Yes, you heard that right）,the...
Hi Team, I have some requirements for unstructured data extraction. I have seen the model performance with structured data. How can we use it for unstructured data?
Are you able to provide the pre-training code? I would like to try and pre-train using roberta-large, or a similar language model :)
Would it be possible to use LiLT with BigBird-Roberta-Base models? If so, any feedback on the best approach of doing so? What might need changing in the LiLT repository to...
Has this been done before to compare the results against LayoutLM(large) and Ernie(Large)? If anyone has, please provide us with the relevant checkpoint and findings for improvements against the standard...
I'm trying to export a Lilt model that uses distilroberta-base.I get the error: Some weights of the model checkpoint at lilt-distilroberta-base were not used when initializing LiltForTokenClassification. The colab I'm...
I am getting errors when trying to run Multi-task Semantic Entity Recognition on XFUND by following the instructions in the README. Specifically, the config initialisation [on line 127](https://github.com/jpWang/LiLT/blob/main/examples/run_xfun_ser.py#L127) in `run_xfun_ser.py`...
any tips for inference script, Actually I am new to this, I am able to train a model on custom dataset using script funsd. but not able to load model...
- Make path to xfund&funsd flexible, users can specify dir to data by parsing arg `data_dir ` when launching the script - Fix dataset bug in run_funsd.py, parse `test_data` to...
