Text Classification
Scikit-learn
Joblib
English
intent-classification
logistic-regression
conference-talk-demo
Instructions to use thinktecture/intent-logreg-nextera with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use thinktecture/intent-logreg-nextera with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("thinktecture/intent-logreg-nextera", "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
| { | |
| "classes": [ | |
| "direct_answer", | |
| "rag_query", | |
| "tool_use" | |
| ], | |
| "embedding_dim": 768, | |
| "n_training_examples": 2110, | |
| "label_distribution": { | |
| "rag_query": 710, | |
| "direct_answer": 569, | |
| "tool_use": 831 | |
| }, | |
| "cv_accuracy_mean": 0.9345971563981041, | |
| "holdout_accuracy": 1.0, | |
| "n_holdout_examples": 36, | |
| "max_iter": 1000 | |
| } |