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/bin/python3.12 from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 8.02 MB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/bin/python3.12
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/bin/python3.12
-
curl -L -o python3.12 https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/bin/python3.12
8.02 MB
- Xet hash:
- 927e3711bbda2329a4a45c96e24fed2a90bd036b9ceff3403035cd05704462c7
- Size of remote file:
- 8.02 MB
- SHA256:
- e50d468e8b0adfb05733f5b87b3cff34829c4a8c1aea50c865aa8bdfe4bb150f
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