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: 680 Bytes
a3f0a64 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | from typing import ClassVar
from fsspec import AbstractFileSystem
__all__ = ("ChainedFileSystem",)
class ChainedFileSystem(AbstractFileSystem):
"""Chained filesystem base class.
A chained filesystem is designed to be layered over another FS.
This is useful to implement things like caching.
This base class does very little on its own, but is used as a marker
that the class is designed for chaining.
Right now this is only used in `url_to_fs` to provide the path argument
(`fo`) to the chained filesystem from the underlying filesystem.
Additional functionality may be added in the future.
"""
protocol: ClassVar[str] = "chained"
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