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
Download hug/lib/python3.12/site-packages/__pycache__/pynvml.cpython-312.pyc from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 334 kB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/__pycache__/pynvml.cpython-312.pyc
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/__pycache__/pynvml.cpython-312.pyc
-
curl -L -o pynvml.cpython-312.pyc https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/__pycache__/pynvml.cpython-312.pyc
334 kB
- Xet hash:
- b0b24cd8ae19cc103987548f29cd1b0612888261f0ce732bf67a1e18bdfc0ee8
- Size of remote file:
- 334 kB
- SHA256:
- 25818068d860aca49cf598fcac76a47a285b0738be997dbc5bc7e7696e7c4d2e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.