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/cv2/version.py from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 92 Bytes
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cv2/version.py
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/cv2/version.py
-
curl -L -o version.py https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cv2/version.py
92 Bytes
| opencv_version = "5.0.0.93" | |
| contrib = False | |
| headless = False | |
| rolling = False | |
| ci_build = True |