How to use Good67/YOLo 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("Good67/YOLo", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True)
https://huggingface.co/Good67/YOLo/resolve/main/README.md
hf download hf://Good67/YOLo/README.md
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Good67/YOLo/resolve/main/README.md
language: en license: mit inference: true library_name: ultralytics pipeline_tag: object-detection tags: - object-detection - yolov8 - ultralytics - detection
