Text Classification
Scikit-learn
Joblib
English
spam-detection
naive-bayes
tf-idf
mlops
Eval Results (legacy)
Instructions to use diegovelilla/message-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use diegovelilla/message-classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("diegovelilla/message-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 message-classifier.joblib from diegovelilla/message-classifier: direct link, hf CLI and curl.
- Browser
- Download file 207 kB
-
https://huggingface.co/diegovelilla/message-classifier/resolve/main/message-classifier.joblib
- Command line
-
hf download hf://diegovelilla/message-classifier/message-classifier.joblib
-
curl -L -o message-classifier.joblib https://huggingface.co/diegovelilla/message-classifier/resolve/main/message-classifier.joblib
207 kB
- Xet hash:
- 0ca066be6798722f745f9c52b97a20f2db92e2d982a38da610f2b2536688a5eb
- Size of remote file:
- 207 kB
- SHA256:
- 8c0ce3cfd7e21e7fa64fdd77d299ee3a4162ca2c9ceae67dfb203b2219011376
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