Instructions to use vikp/surya_det3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vikp/surya_det3 with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("vikp/surya_det3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vikp/surya_det3: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/vikp/surya_det3/resolve/main/training_args.bin
- Command line
-
hf download hf://vikp/surya_det3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vikp/surya_det3/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- c6128e552576b98069863fba42bf8817361bbf221d4d8c1de7189b5033754334
- Size of remote file:
- 5.11 kB
- SHA256:
- 6d76255a802ec614336406c974998559b5cae01b112b47ec7eab1ed39b5fdb4c
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