Instructions to use amejri/layoutlmv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amejri/layoutlmv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amejri/layoutlmv3")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("amejri/layoutlmv3") model = AutoModelForTokenClassification.from_pretrained("amejri/layoutlmv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b994c8696df073d614e2c0ec05885ef401a6b470612712a5da98349a27c95c2e
- Size of remote file:
- 3.96 kB
- SHA256:
- 7c22e77756d01e0421c8f9accb1f73a3dcbf67371d17f0f69b2a3026b1094519
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