Object Detection
ultralytics
YOLOv10
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
yolov3
yolov5
yolov9
Instructions to use fharo/YOLOv8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use fharo/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("fharo/YOLOv8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use fharo/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("fharo/YOLOv8", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Updating example to abide by contract with the schemas.
Browse files- aether-model-card.json +5 -1
aether-model-card.json
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"model_origin": "Ultralytics",
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"model_artifact": {
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"hash":"5d4a90cdc7a21786cc59cd19778e9eafff836df9e2da32524737c7ee6efe4fe5",
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"ownership_and_governance": {
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"owners": [
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