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: 234 Bytes
bbae060 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | from typing import NamedTuple
class FeatureLibLocation(NamedTuple):
"""A location in a feature file"""
file: str
line: int
column: int
def __str__(self):
return f"{self.file}:{self.line}:{self.column}"
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