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
Download source/weights.json from HanzoHuang/YOLOv10-RKNN2-Ultralytics: direct link, hf CLI and curl.
- Browser
- Download file 2.12 kB
-
https://huggingface.co/HanzoHuang/YOLOv10-RKNN2-Ultralytics/resolve/main/source/weights.json
- Command line
-
hf download hf://HanzoHuang/YOLOv10-RKNN2-Ultralytics/source/weights.json
-
curl -L -o weights.json https://huggingface.co/HanzoHuang/YOLOv10-RKNN2-Ultralytics/resolve/main/source/weights.json
2.12 kB
| [ | |
| { | |
| "name": "yolov10n", | |
| "family": "yolov10", | |
| "size": "n", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 5860383, | |
| "sha256": "11287ed0735678e7ba1ac2a9b3098c049155b3fde123992e724c1264bcc16b6f", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10n.pt", | |
| "file": "source/weights/yolov10n.pt" | |
| }, | |
| { | |
| "name": "yolov10s", | |
| "family": "yolov10", | |
| "size": "s", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 16623111, | |
| "sha256": "65fa8332c38a7189597a268897bce6c1026f9499711b9761fb0c2c639b91d4d6", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10s.pt", | |
| "file": "source/weights/yolov10s.pt" | |
| }, | |
| { | |
| "name": "yolov10m", | |
| "family": "yolov10", | |
| "size": "m", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 33643667, | |
| "sha256": "6dc78f7a88591cec1e8716b8f5c7e3aefa9206684f025d202be34439ccb329a0", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10m.pt", | |
| "file": "source/weights/yolov10m.pt" | |
| }, | |
| { | |
| "name": "yolov10b", | |
| "family": "yolov10", | |
| "size": "b", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 41679663, | |
| "sha256": "31ef0baecfa8010ebb4b53b0624836f30d73702b04710c23945782dba5d258c2", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10b.pt", | |
| "file": "source/weights/yolov10b.pt" | |
| }, | |
| { | |
| "name": "yolov10l", | |
| "family": "yolov10", | |
| "size": "l", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 52425230, | |
| "sha256": "d0685e1e597f73aba8e56bc9651b6bb939c5b2f201dff5de0b9ef2a6207ae301", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10l.pt", | |
| "file": "source/weights/yolov10l.pt" | |
| }, | |
| { | |
| "name": "yolov10x", | |
| "family": "yolov10", | |
| "size": "x", | |
| "task": "detect", | |
| "imgsz": 640, | |
| "bytes": 64395854, | |
| "sha256": "605982e0b2c2ff070351afc8df3ecb38c54cfd7f133813acb366f454eb79b9a6", | |
| "source": "https://github.com/ultralytics/assets/releases/download/v8.4.0/yolov10x.pt", | |
| "file": "source/weights/yolov10x.pt" | |
| } | |
| ] | |