- YOLO11l: https://huggingface.co/jparedesDS/fluorescent-penetrant-inspection
- YOLO11x: https://huggingface.co/jparedesDS/welding-defects-detection
- YOLOv9c: https://huggingface.co/jparedesDS/cs2-yolov9c
- YOLOv10s: https://huggingface.co/jparedesDS/cs2-yolov10s
- YOLOv10m: https://huggingface.co/jparedesDS/cs2-yolov10m
- YOLOv10b: https://huggingface.co/jparedesDS/cs2-yolov10b
- YOLOv10b: https://huggingface.co/jparedesDS/valorant-yolov10b
- YOLO11m: https://huggingface.co/jparedesDS/valorant-yolo11m
from ultralytics import YOLO
# Load a pretrained YOLO model
model = YOLO(r'your_model.pt')
# Run inference on 'image.png' with arguments
model.predict(
'image.png',
save=True,
device=0
)