Instructions to use vikp/surya_layout3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/surya_layout3 with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("vikp/surya_layout3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c4dc8defa599452432a0760aff79f6a82572f62208bb179e72a5ead899d7fb6
- Size of remote file:
- 5.11 kB
- SHA256:
- 26e1ccb624958982ad55191648d53f9610cfce83b5bd9a227804a62bf3446639
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