Instructions to use cuongngm/layoutlm-bill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuongngm/layoutlm-bill with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuongngm/layoutlm-bill")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("cuongngm/layoutlm-bill") model = AutoModelForTokenClassification.from_pretrained("cuongngm/layoutlm-bill") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20656cc12253e7e733985814f2c292a0a70a66e4b81ad32b7af0ab15c341f703
- Size of remote file:
- 802 MB
- SHA256:
- 8254b96ef292ef358b33128ff806ec8390c9c8c11244ac0f4881f96b872af3a3
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