Instructions to use microsoft/layoutlmv3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/layoutlmv3-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("microsoft/layoutlmv3-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Fine tuning for both NER and relation extraction
#20
by charliegood - opened
Has anyone successfully trained this model for relation extraction? I noticed that the FUNSD dataset has relationship data in it (via type 'labels', being 'question' or 'answer') and a 'linking' property. Fine tunes that I have found for this model seem to focus purely on the NER aspect.
i also need ,do u find it?