Text Classification
Scikit-learn
Joblib
Indonesian
English
phishing
tf-idf
logistic-regression
multilingual
security
Instructions to use Febriyansyah/phishing-email-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Febriyansyah/phishing-email-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Febriyansyah/phishing-email-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
feat: initial professional model — TF-IDF char_wb + LogReg (ID/EN), synthetic edu-only
31dea96 verified Download model.joblib from Febriyansyah/phishing-email-classifier: direct link, hf CLI and curl.
- Browser
- Download file 163 kB
-
https://huggingface.co/Febriyansyah/phishing-email-classifier/resolve/main/model.joblib
- Command line
-
hf download hf://Febriyansyah/phishing-email-classifier/model.joblib
-
curl -L -o model.joblib https://huggingface.co/Febriyansyah/phishing-email-classifier/resolve/main/model.joblib
163 kB
- Xet hash:
- a6a66b1474ffd55524be5939e0b31810a9c63e96df862f6cf4d19c315863fd86
- Size of remote file:
- 163 kB
- SHA256:
- d857482a1558e9fd7eae7c3a21220696d2be939af2792782430518632d37cea4
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