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
fix: correct cost display unit to per-query dollar amount
Browse files
README.md
CHANGED
|
@@ -67,7 +67,7 @@ from router import R2Router
|
|
| 67 |
router = R2Router.from_pretrained(path, embed_url="http://localhost:8000")
|
| 68 |
result = router.route_text("What is the capital of France?")
|
| 69 |
print(f"Model: {result['model_full_name']}, Budget: {result['token_limit']}")
|
| 70 |
-
print(f"Estimated Quality: {result['predicted_quality']:.3f}, Estimated Cost: ${result['predicted_cost']
|
| 71 |
```
|
| 72 |
|
| 73 |
### Adjusting Lambda (Cost-Accuracy Tradeoff)
|
|
|
|
| 67 |
router = R2Router.from_pretrained(path, embed_url="http://localhost:8000")
|
| 68 |
result = router.route_text("What is the capital of France?")
|
| 69 |
print(f"Model: {result['model_full_name']}, Budget: {result['token_limit']}")
|
| 70 |
+
print(f"Estimated Quality: {result['predicted_quality']:.3f}, Estimated Cost: ${result['predicted_cost']:.6f}")
|
| 71 |
```
|
| 72 |
|
| 73 |
### Adjusting Lambda (Cost-Accuracy Tradeoff)
|