Instructions to use aipluxtechnology/insurance-DocLayout-YOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use aipluxtechnology/insurance-DocLayout-YOLO with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("aipluxtechnology/insurance-DocLayout-YOLO", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download fubon_best.pt from aipluxtechnology/insurance-DocLayout-YOLO: direct link, hf CLI and curl.
- Browser
- Download file 51.3 MB
-
https://huggingface.co/aipluxtechnology/insurance-DocLayout-YOLO/resolve/main/fubon_best.pt
- Command line
-
hf download hf://aipluxtechnology/insurance-DocLayout-YOLO/fubon_best.pt
-
curl -L -o fubon_best.pt https://huggingface.co/aipluxtechnology/insurance-DocLayout-YOLO/resolve/main/fubon_best.pt
51.3 MB
- Xet hash:
- f6a0db68e946e48674104013b67747808a7595229d82215d72a85377f70aa21a
- Size of remote file:
- 51.3 MB
- SHA256:
- d8bda4a6804d259c8732861d8f0663e4a44a9a5666d1b94fa0f2929c4b20ee16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.