Scikit-learn
Joblib
English
protocol-routing
llm-routing
multi-agent-systems
cost-aware-inference
protocol-selection
calibration
reasoning
reproducibility
emnlp2026
Instructions to use AgentsSci/EMNLP_Cost-Aware-Protocol-Routing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AgentsSci/EMNLP_Cost-Aware-Protocol-Routing with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AgentsSci/EMNLP_Cost-Aware-Protocol-Routing", "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
Publish the trained metadata-only router checkpoint with its fitted feature builders, verified label map, and a runnable example
0181745 verified Download sklearn_model.joblib from AgentsSci/EMNLP_Cost-Aware-Protocol-Routing: direct link, hf CLI and curl.
- Browser
- Download file 9.71 kB
-
https://huggingface.co/AgentsSci/EMNLP_Cost-Aware-Protocol-Routing/resolve/main/sklearn_model.joblib
- Command line
-
hf download hf://AgentsSci/EMNLP_Cost-Aware-Protocol-Routing/sklearn_model.joblib
-
curl -L -o sklearn_model.joblib https://huggingface.co/AgentsSci/EMNLP_Cost-Aware-Protocol-Routing/resolve/main/sklearn_model.joblib
9.71 kB
- Xet hash:
- f8d6eee49249ffd3b4f0d2c9c727b43a60acacf96da5a3a7ff07e2bfcdc3ed2d
- Size of remote file:
- 9.71 kB
- SHA256:
- 63b5358423b430b39f2a586913d48bf84f2b6774cda78bf1bc383c76de7f0c3b
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