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
Download examples/tools.json from stanley-nv/toolrouter: direct link, hf CLI and curl.
- Browser
- Download file 743 Bytes
-
https://huggingface.co/stanley-nv/toolrouter/resolve/main/examples/tools.json
- Command line
-
hf download hf://stanley-nv/toolrouter/examples/tools.json
-
curl -L -o tools.json https://huggingface.co/stanley-nv/toolrouter/resolve/main/examples/tools.json
743 Bytes
| { | |
| "stock_quotes": "Real-time share prices, tickers and market indices from stock exchanges.", | |
| "smart_home": "Control lights, thermostat, locks, cameras and other connected home devices.", | |
| "calendar": "Read, create and move meetings and appointments on the user's calendar.", | |
| "food_delivery": "Order meals and groceries for delivery from restaurants and stores.", | |
| "flight_search": "Search airlines for flights, fares and schedules between airports.", | |
| "translator": "Translate words, sentences and documents from one language to another.", | |
| "git_helper": "Run git operations: commit, push, pull, branches, diffs and history of the repository.", | |
| "other": "No tool needed: chit-chat, writing, math, advice and general questions." | |
| } | |