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/cv_folds.csv from ranzouu/leadforge-intent-classifier: direct link, hf CLI and curl.
- Browser
- Download file 191 Bytes
-
https://huggingface.co/ranzouu/leadforge-intent-classifier/resolve/main/runs/cv_folds.csv
- Command line
-
hf download hf://ranzouu/leadforge-intent-classifier/runs/cv_folds.csv
-
curl -L -o cv_folds.csv https://huggingface.co/ranzouu/leadforge-intent-classifier/resolve/main/runs/cv_folds.csv
191 Bytes
| fold,train,test,accuracy,precision,recall,f1 | |
| 1,48,12,0.5,0.5,0.5,0.5 | |
| 2,48,12,0.5,0.5,0.5,0.5 | |
| 3,48,12,0.75,0.7389,0.75,0.7368 | |
| 4,48,12,0.9167,0.9333,0.9167,0.9153 | |
| 5,48,12,0.5,0.5,0.5,0.5 | |