Text Classification
Scikit-learn
Joblib
English
llm-routing
model-selection
budget-optimization
nearest-neighbor
Instructions to use JiaqiXue/R2-Router-RouterArena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use JiaqiXue/R2-Router-RouterArena with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("JiaqiXue/R2-Router-RouterArena", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Download checkpoints/quality_knn_coder-next_concise.joblib from JiaqiXue/R2-Router-RouterArena: direct link, hf CLI and curl.
- Browser
- Download file 3.32 MB
-
https://huggingface.co/JiaqiXue/R2-Router-RouterArena/resolve/52e5f26cd1ad7746dbc3bdf468c03d3e42d2efa8/checkpoints/quality_knn_coder-next_concise.joblib
- Command line
-
hf download hf://JiaqiXue/R2-Router-RouterArena@52e5f26cd1ad7746dbc3bdf468c03d3e42d2efa8/checkpoints/quality_knn_coder-next_concise.joblib
-
curl -L -o quality_knn_coder-next_concise.joblib https://huggingface.co/JiaqiXue/R2-Router-RouterArena/resolve/52e5f26cd1ad7746dbc3bdf468c03d3e42d2efa8/checkpoints/quality_knn_coder-next_concise.joblib
3.32 MB
- Xet hash:
- a3abc9a66d3c72ce4137b21e5dd4ccba085a41dc827a444b20342fe34172824e
- Size of remote file:
- 3.32 MB
- SHA256:
- b4c2df7aabc3fee5ae12a05b3296eafd6f54053c6b1bf6a3cf5e6cec4cf4574c
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