Instructions to use Phurin1/best-p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Phurin1/best-p with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Phurin1/best-p") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
YOLOv11 Object Detection Model
This is a YOLOv11 model trained for object detection tasks. The model was trained using the Ultralytics YOLOv11 framework.
π¦ Model Details
- Framework: Ultralytics YOLOv11
- Task: Object Detection
- Dataset: COCO format
- Model Size: ~5MB
- Author: Phurin1
π§ Use with Ultralytics
To use this model in your Python code:
from ultralytics import YOLO
model = YOLO("Phurin1/best-p") # Or the full URL: "https://huggingface.co/Phurin1/best-p"
results = model("https://ultralytics.com/images/bus.jpg", save=True)
results.show()
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