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dakebakery
/
Bonsai-JEV-mlx

Text Classification
MLX
Safetensors
English
prism_hadamard_qwen35
system-one
decision
calibrated-probabilities
jev
bonsai
ternary
apple-silicon
lora
vision
on-device
Model card Files Files and versions
xet
Community

Instructions to use dakebakery/Bonsai-JEV-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use dakebakery/Bonsai-JEV-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download dakebakery/Bonsai-JEV-mlx --local-dir Bonsai-JEV-mlx
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
Bonsai-JEV-mlx / runtime
25.3 kB
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  • 1 contributor
History: 1 commit
dakebakery's picture
dakebakery
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3b57fd1 verified 6 days ago
  • LICENSE
    1.07 kB
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  • artifact.py
    5.62 kB
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  • codec.py
    2.57 kB
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  • requirements.txt
    115 Bytes
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  • runtime.py
    10.7 kB
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  • vision_artifact.py
    5.29 kB
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