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 /driver.cpython-312-x86_64-linux-gnu.so
Download hug/lib/python3.12/site-packages/cuda/bindings/driver.cpython-312-x86_64-linux-gnu.so from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 7.5 MB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cuda/bindings/driver.cpython-312-x86_64-linux-gnu.so
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/cuda/bindings/driver.cpython-312-x86_64-linux-gnu.so
-
curl -L -o driver.cpython-312-x86_64-linux-gnu.so https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cuda/bindings/driver.cpython-312-x86_64-linux-gnu.so
7.5 MB
- Xet hash:
- 13600273fbf1f26131860872393dbce530d048fa0e62c86c35f570d2ec314cb1
- Size of remote file:
- 7.5 MB
- SHA256:
- 262fc01e03ce4107619d8abd1d4f1ca37faec0497fe7a4f618f1f31fa1bfd5aa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.