Instructions to use irlvinicius/KaryoVisio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use irlvinicius/KaryoVisio 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("irlvinicius/KaryoVisio", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit History
21 days ago
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Add YOLO26m cross-validation artifacts
1d4b8b2
23 days ago
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model: add ResNet50 chromosome classifier
2d2ac98
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experiment: add preprocessed model training results
6ad4e28 -
model: add YOLO26m preprocessed dataset model
9c00200 -
model: add YOLO26m original dataset model
d67da87 -
chore: initialize model storage structure
f05ea8a