Instructions to use Scezui/layoutlm-funsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scezui/layoutlm-funsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Scezui/layoutlm-funsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Scezui/layoutlm-funsd") model = AutoModelForTokenClassification.from_pretrained("Scezui/layoutlm-funsd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a3fae8fb000b07664bc20091a014420bdc4c5ede14c2650daa6ba96e6dacd1d
- Size of remote file:
- 451 MB
- SHA256:
- b541558b9d290976497b3adb03e99ec89275e2014c72dc647c76c570081ec8d9
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