Instructions to use Sennodipoi/LayoutLMv1-FUNSD-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sennodipoi/LayoutLMv1-FUNSD-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sennodipoi/LayoutLMv1-FUNSD-ft")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Sennodipoi/LayoutLMv1-FUNSD-ft") model = AutoModelForTokenClassification.from_pretrained("Sennodipoi/LayoutLMv1-FUNSD-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b364bc658a405f9241744bcd3c1eb847fc0ef396e688987f5f44f8a9ee115b5c
- Size of remote file:
- 451 MB
- SHA256:
- 7dc64d8670da58c2f06b3bd8ea83385fc85c53e889085eea492e3bed8420063c
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