Instructions to use CollectionStudio/YOLOv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use CollectionStudio/YOLOv5 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("CollectionStudio/YOLOv5", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download yolov5m.pt from CollectionStudio/YOLOv5: direct link, hf CLI and curl.
- Browser
- Download file 42.8 MB
-
https://huggingface.co/CollectionStudio/YOLOv5/resolve/main/yolov5m.pt
- Command line
-
hf download hf://CollectionStudio/YOLOv5/yolov5m.pt
-
curl -L -o yolov5m.pt https://huggingface.co/CollectionStudio/YOLOv5/resolve/main/yolov5m.pt
42.8 MB
- Xet hash:
- 9787e9bbd428e49bf0523575c655d395f337f13f1552b7c95b2a4fb7acef72f2
- Size of remote file:
- 42.8 MB
- SHA256:
- 61d933360ba5a7733a36764996c800287d973889d875227f5beedd2473a97a56
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