Instructions to use SimaoQuintela/LayoutLMv3-FUNSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SimaoQuintela/LayoutLMv3-FUNSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="SimaoQuintela/LayoutLMv3-FUNSD")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SimaoQuintela/LayoutLMv3-FUNSD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Feat: LayoutLMv3 trained on the FUNSD dataset
Verified signatureThis notebook trains the LayoutLMv3 layout model (on kagggle to take advantage of the GPU accelerators) on the FUNSD dataset. It also provides an inference phase where you can store your results on google drive1f7fe70 -
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