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
File size: 650 Bytes
f5fb003 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | # -*- coding: utf-8 -*-
import sys
try:
from ._version import version as __version__
except ImportError:
__version__ = 'unknown'
__all__ = ["easter", "parser", "relativedelta", "rrule", "tz", "utils"]
def __getattr__(name):
import importlib
if name in __all__ or name == "zoneinfo":
return importlib.import_module("." + name, __name__)
raise AttributeError(
"module {!r} has no attribute {!r}".format(__name__, name)
)
def __dir__():
# __dir__ should include all the lazy-importable modules as well.
return (
[x for x in globals() if x not in sys.modules] + __all__ + ["zoneinfo"]
)
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