Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX 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("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Logistics_AX / hug /lib /python3.12 /site-packages /cuda /bindings /runtime.cpython-312-x86_64-linux-gnu.so
Download hug/lib/python3.12/site-packages/cuda/bindings/runtime.cpython-312-x86_64-linux-gnu.so from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 5.33 MB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cuda/bindings/runtime.cpython-312-x86_64-linux-gnu.so
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/cuda/bindings/runtime.cpython-312-x86_64-linux-gnu.so
-
curl -L -o runtime.cpython-312-x86_64-linux-gnu.so https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cuda/bindings/runtime.cpython-312-x86_64-linux-gnu.so
5.33 MB
- Xet hash:
- 69ee2b44e285aa2748d6f272e1c288996cddd307e453328ea7677f34cf2608ec
- Size of remote file:
- 5.33 MB
- SHA256:
- bdd061294dd0d595df280aa7931e125d1356e80016751eaec009f5f2f2c57e59
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