Object Detection
ultralytics
PyTorch
Transformers
ONNX
Japanese
ultralyticsplus
yolov8
yolo
vision
image-segmentation
text-classification
Instructions to use miracle2568/ams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use miracle2568/ams with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("miracle2568/ams") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Transformers
How to use miracle2568/ams with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="miracle2568/ams")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("miracle2568/ams", dtype="auto") - Notebooks
- Google Colab
- Kaggle