Instructions to use Mahmoud7/OD_YOLOS_strat2_classes_for_layoutlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud7/OD_YOLOS_strat2_classes_for_layoutlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Mahmoud7/OD_YOLOS_strat2_classes_for_layoutlm")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Mahmoud7/OD_YOLOS_strat2_classes_for_layoutlm") model = AutoModelForObjectDetection.from_pretrained("Mahmoud7/OD_YOLOS_strat2_classes_for_layoutlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5436b1de1de7f536980f2c571fe88ac37fd243469197052b5c25490a36bde6f5
- Size of remote file:
- 26 MB
- SHA256:
- fd7aea896add1cf34ebdb65f23e5be2f8111342308689fc52595600a336e01c4
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