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/jinja2/__pycache__/compiler.cpython-312.pyc from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 104 kB
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/jinja2/__pycache__/compiler.cpython-312.pyc
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/jinja2/__pycache__/compiler.cpython-312.pyc
-
curl -L -o compiler.cpython-312.pyc https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/jinja2/__pycache__/compiler.cpython-312.pyc
104 kB
- Xet hash:
- c98acc13e901df6a3fa76c4e95e0a7541b2673517e7cdeaaba62df183f82d0e9
- Size of remote file:
- 104 kB
- SHA256:
- 2f3feead0564caa3bf884dd366022ab54c29ff38cd54dabb7afdf705048a64cf
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