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 yolov5s.pt from CollectionStudio/YOLOv5: direct link, hf CLI and curl.
- Browser
- Download file 14.8 MB
-
https://huggingface.co/CollectionStudio/YOLOv5/resolve/main/yolov5s.pt
- Command line
-
hf download hf://CollectionStudio/YOLOv5/yolov5s.pt
-
curl -L -o yolov5s.pt https://huggingface.co/CollectionStudio/YOLOv5/resolve/main/yolov5s.pt
14.8 MB
- Xet hash:
- 8effe2fb4b673cf2c626156c9b46166e2b36359e5a6749818b488fc25f7f3352
- Size of remote file:
- 14.8 MB
- SHA256:
- 8b3b748c1e592ddd8868022e8732fde20025197328490623cc16c6f24d0782ee
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