Instructions to use xiaoyao9184/surya_text_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaoyao9184/surya_text_detection with Transformers:
# Load model directly from transformers import EfficientViTForSemanticSegmentation model = EfficientViTForSemanticSegmentation.from_pretrained("xiaoyao9184/surya_text_detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from xiaoyao9184/surya_text_detection: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/xiaoyao9184/surya_text_detection/resolve/main/training_args.bin
- Command line
-
hf download hf://xiaoyao9184/surya_text_detection/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/xiaoyao9184/surya_text_detection/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- bfae65309d9c69a979be272ee42e78fe8c43d1e9b6cac7f9c5419f304908e498
- Size of remote file:
- 5.62 kB
- SHA256:
- 7e605d76a38a3739d8372218370b9d5a008b8ff4299cfe61fb2a46e1fa91b525
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.