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stanley-nv
/
toolrouter

Text Classification
Model2Vec
English
toolrouter
tool-routing
tool-selection
intent-classification
function-calling
static-embeddings
numpy
cpu
tiny
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use stanley-nv/toolrouter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Model2Vec

    How to use stanley-nv/toolrouter with Model2Vec:

    from model2vec import StaticModel
    
    model = StaticModel.from_pretrained("stanley-nv/toolrouter")
    
    embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."])
    print(embeddings.shape)
  • Notebooks
  • Google Colab
  • Kaggle
toolrouter
17.6 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
stanley-nv's picture
stanley-nv
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b2607a3 verified about 13 hours ago
  • docs
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  • examples
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  • tests
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  • toolrouter
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  • web
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  • .gitattributes
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  • .gitignore
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  • LICENSE
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  • README.md
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  • pyproject.toml
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  • requirements-train.txt
    77 Bytes
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  • requirements.txt
    12 Bytes
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  • toolrouter.npz
    7.66 MB
    xet
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