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Reaver1000
/
trade-state-classifier

ultralytics
computer-vision
trading
finance
classification
yolo
stream-analysis
Model card Files Files and versions
xet
Community

Instructions to use Reaver1000/trade-state-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ultralytics

    How to use Reaver1000/trade-state-classifier 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("Reaver1000/trade-state-classifier", "<weights>.pt")
    model = YOLO(weights)
    source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
    model.predict(source=source, save=True)
  • Notebooks
  • Google Colab
  • Kaggle
trade-state-classifier
3.19 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Reaver1000's picture
Reaver1000
weights: fine-tuned trade-state classifier
b5e1e0c verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    4.76 kB
    Initial upload: fine-tuned YOLO26n-cls trade-state classifier (scrubbed model card) 3 days ago
  • best.pt
    3.19 MB
    xet
    weights: fine-tuned trade-state classifier 3 days ago