Instructions to use Good67/YOLo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
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) - Notebooks
- Google Colab
- Kaggle
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)README.md exists but content is empty.
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