Instructions to use Mahmoud7/LayoutLMv3_diff_nu3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff_nu3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff_nu3")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu3") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff_nu3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3140f522c7694950cbddefcca2e9b18b2cc8531915725b626735b874e308d1f2
- Size of remote file:
- 504 MB
- SHA256:
- ead3589da3afcb8d6523cdfdf211a7da9e1bfcf3ad3f55dbeefb430bd315dc44
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