Text Classification
Model2Vec
English
toolrouter
tool-routing
tool-selection
intent-classification
function-calling
static-embeddings
numpy
cpu
tiny
Eval Results (legacy)
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
File size: 132 Bytes
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