Object Detection
ultralytics
YOLOv10
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
yolov3
yolov5
yolov9
Instructions to use CollectionStudio/YOLOv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use CollectionStudio/YOLOv8 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/YOLOv8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use CollectionStudio/YOLOv8 with YOLOv10:
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/YOLOv8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download yolov8m.pt from CollectionStudio/YOLOv8: direct link, hf CLI and curl.
- Browser
- Download file 52.1 MB
-
https://huggingface.co/CollectionStudio/YOLOv8/resolve/main/yolov8m.pt
- Command line
-
hf download hf://CollectionStudio/YOLOv8/yolov8m.pt
-
curl -L -o yolov8m.pt https://huggingface.co/CollectionStudio/YOLOv8/resolve/main/yolov8m.pt
52.1 MB
- Xet hash:
- 7aa7ba626cfcfc5a6ceb536834b19cd84da8829dfb310170b4f4ff802832aacb
- Size of remote file:
- 52.1 MB
- SHA256:
- 6c25b0b63b1a433843f06d821a9ac1deb8d5805f74f0f38772c7308c5adc55a5
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