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neimand
/
nima

MLX
English
nima_joint_schema
tool-routing
decision-model
frozen-backbone
joint-schema
custom-code
research
Model card Files Files and versions
xet
Community

Instructions to use neimand/nima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use neimand/nima with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    hf download neimand/nima --local-dir nima
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
nima
5.35 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
neimand's picture
neimand
Update README.md
008218d verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • LICENSE
    11.4 kB
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  • NOTICE
    368 Bytes
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  • README.md
    7.54 kB
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  • SHA256SUMS.json
    1.42 kB
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  • architecture.json
    479 Bytes
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  • config.json
    1.36 kB
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  • dataset_manifest.json
    1.01 kB
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  • encoding.py
    2.44 kB
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  • evaluation_results.json
    32.5 kB
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  • example.json
    850 Bytes
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  • head.py
    2.72 kB
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  • head.safetensors
    5.28 MB
    xet
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  • inference.py
    5.23 kB
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  • release_checks.json
    357 Bytes
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  • requirements.txt
    64 Bytes
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  • training_metadata.json
    8.02 kB
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  • training_protocol.json
    391 Bytes
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