Text Classification
Scikit-learn
Joblib
English
scikit-learn
tfidf
logistic-regression
Synthetic
responsible-ai
workflow-automation
Eval Results (legacy)
Instructions to use nwhite-systems/nwhite-ai-operations-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use nwhite-systems/nwhite-ai-operations-intent-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("nwhite-systems/nwhite-ai-operations-intent-classifier", "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
| { | |
| "model_version": "1.0.0", | |
| "framework": "scikit-learn", | |
| "pipeline": [ | |
| "TfidfVectorizer", | |
| "LogisticRegression" | |
| ], | |
| "random_state": 20260801, | |
| "training_split_only": true, | |
| "fit_record_count": 128, | |
| "text_field": "user_request", | |
| "target_field": "intent", | |
| "probability_output": true, | |
| "abstention_threshold": null | |
| } | |