Instructions to use Mahmoud7/LayoutLMv3_diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/LayoutLMv3_diff with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Mahmoud7/LayoutLMv3_diff")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Mahmoud7/LayoutLMv3_diff") model = AutoModelForTokenClassification.from_pretrained("Mahmoud7/LayoutLMv3_diff") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75eb8a4d892549f1fcfb987a7e9a145e167e7e4a965528a4ed98484a1dc0daae
- Size of remote file:
- 504 MB
- SHA256:
- c5fcfe371122a5aca7cff9c44add3e34d3bd6b3a5f2493abf22337655453d38e
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