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:
- ccc34b24f4947b0b0b6533af353b7bf231b8e2650a84a131bc60c6aa4f6e2665
- Size of remote file:
- 504 MB
- SHA256:
- c80a13b3a9267fe13249531504123d9f4056d3792d1467e9b1725b6f9f1beb68
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