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:
# pip install -U transformers accelerate # Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("vikp/surya_layout3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vikp/surya_layout3: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/vikp/surya_layout3/resolve/main/training_args.bin
- Command line
-
hf download hf://vikp/surya_layout3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vikp/surya_layout3/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 1c4dc8defa599452432a0760aff79f6a82572f62208bb179e72a5ead899d7fb6
- Size of remote file:
- 5.11 kB
- SHA256:
- 26e1ccb624958982ad55191648d53f9610cfce83b5bd9a227804a62bf3446639
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