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SimaoQuintela
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LayoutLMv3-FUNSD

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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("document-question-answering", model="SimaoQuintela/LayoutLMv3-FUNSD")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("SimaoQuintela/LayoutLMv3-FUNSD", dtype="auto")
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LayoutLMv3-FUNSD

This 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 drive

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Dataset used to train SimaoQuintela/LayoutLMv3-FUNSD