Instructions to use HanzoHuang/YOLOv10-RKNN2-Ultralytics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use HanzoHuang/YOLOv10-RKNN2-Ultralytics with YOLOv10:
from huggingface_hub import hf_hub_download from ultralytics import YOLOv10 # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("HanzoHuang/YOLOv10-RKNN2-Ultralytics", "<weights>.pt") model = YOLOv10(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Add source/weights
Browse files
source/weights/yolov10n.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:11287ed0735678e7ba1ac2a9b3098c049155b3fde123992e724c1264bcc16b6f
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size 5860383
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