Instructions to use M-Arjun/SpamShield with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use M-Arjun/SpamShield with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("M-Arjun/SpamShield", "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
File size: 304 Bytes
0ec6609 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"spam_threshold": 0.4941,
"short_text_word_count": 2,
"short_text_threshold": 0.9,
"very_short_text_word_count": 1,
"very_short_text_threshold": 0.96,
"target_min_precision": 0.98,
"vectorizer": "tfidf_word_char",
"word_max_features": 10000,
"char_max_features": 5000,
"min_df": 3
} |