Instructions to use chingoduc/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chingoduc/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chingoduc/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chingoduc/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("chingoduc/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4f212ad6ab5ec3f98f176c99d23d04c3fc8387810f7a39016f2b7b872c224b95
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size 450562404
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