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: 467 Bytes
269d09f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | import os
import unittest
import certifi
class TestCertifi(unittest.TestCase):
def test_cabundle_exists(self) -> None:
assert os.path.exists(certifi.where())
def test_read_contents(self) -> None:
content = certifi.contents()
assert "-----BEGIN CERTIFICATE-----" in content
def test_py_typed_exists(self) -> None:
assert os.path.exists(
os.path.join(os.path.dirname(certifi.__file__), 'py.typed')
)
|