Instructions to use KRayRay/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KRayRay/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KRayRay/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KRayRay/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("KRayRay/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e388e5ec4da2f7c0ef1e601741bb063bd809d430be110bd104c3e1170b021fa5
- Size of remote file:
- 451 MB
- SHA256:
- fc1c640e216cf0009a5be6a73529676173717902cbb4f485740c811e3dd7446b
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