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S1M0N38
/
chess-cv

Image Classification
MLX
computer-vision
chess
cnn
lightweight
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use S1M0N38/chess-cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use S1M0N38/chess-cv with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir chess-cv S1M0N38/chess-cv
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
chess-cv
1.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
S1M0N38's picture
S1M0N38
feat(model): new version of the arrows model (eager-brook-29)
aa44d9b verified 7 months ago
  • .gitattributes
    1.58 kB
    feat: upload new model version 8 months ago
  • README.md
    10.2 kB
    feat(model): new version of the arrows model (eager-brook-29) 7 months ago
  • arrows.safetensors
    645 kB
    xet
    feat: add new arrows model 7 months ago
  • config.json
    244 Bytes
    feat(model): new version of the snap model (morning-donkey-14) 7 months ago
  • pieces.safetensors
    627 kB
    xet
    feat(model): new version of the pieces model (electric-river-40) 7 months ago
  • snap.safetensors
    621 kB
    xet
    feat(model): new version of the snap model (morning-donkey-14) 7 months ago