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:
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("LexBwmn/ACE-V1", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download BoxPR_curve.png from LexBwmn/ACE-V1: direct link, hf CLI and curl.
- Browser
- Download file 88.9 kB
-
https://huggingface.co/LexBwmn/ACE-V1/resolve/main/BoxPR_curve.png
- Command line
-
hf download hf://LexBwmn/ACE-V1/BoxPR_curve.png
-
curl -L -o BoxPR_curve.png https://huggingface.co/LexBwmn/ACE-V1/resolve/main/BoxPR_curve.png
88.9 kB
