Text Classification
Scikit-learn
Portuguese
intent-classification
lead-scoring
tf-idf
logistic-regression
portuguese
Instructions to use ranzouu/leadforge-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ranzouu/leadforge-intent-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ranzouu/leadforge-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
Download runs/summary.csv from ranzouu/leadforge-intent-classifier: direct link, hf CLI and curl.
- Browser
- Download file 219 Bytes
-
https://huggingface.co/ranzouu/leadforge-intent-classifier/resolve/main/runs/summary.csv
- Command line
-
hf download hf://ranzouu/leadforge-intent-classifier/runs/summary.csv
-
curl -L -o summary.csv https://huggingface.co/ranzouu/leadforge-intent-classifier/resolve/main/runs/summary.csv
219 Bytes
| mode,accuracy,accuracy_std,precision,precision_std,recall,recall_std,f1,f1_std,macro_f1,folds,samples,c_per_fold,final_C | |
| cv5,0.6333,0.1918,0.6344,0.1965,0.6333,0.1918,0.6304,0.1894,0.6333,5,60,2.0;0.5;0.5;2.0;0.5,4.0 | |