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:
- 7fb15ca2a241b3deac16c674df1f5a388de59ab474c246499ee0736dbf6bc533
- Size of remote file:
- 504 MB
- SHA256:
- b4b52ae9bc71d954eeaef20570d163219cfae9f78e7e7af444e4c22203952457
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