Object Detection
ultralytics
Safetensors
yolo
medical
tumor-detection
yolo11
brain tumor
computer vision
Eval Results (legacy)
Instructions to use LexBwmn/ACE-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use LexBwmn/ACE-V1 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("LexBwmn/ACE-V1") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd99c1e5b8cce01294cf01ce18821b75377ee0cea5d620399675cf2e20f9dcba
- Size of remote file:
- 2.98 MB
- SHA256:
- 656f7f53db81b56fa21cfcae706ebca66d176b544d9b370ad1bbb275dd07d4b2
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