Instructions to use quantumbit/spam-comment-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use quantumbit/spam-comment-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("quantumbit/spam-comment-detector", "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
Upload spam_detector_model_v2.pkl with huggingface_hub
Browse files
spam_detector_model_v2.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6f23d08fab834cf91e6eb36497dd2acd06f11c2b77539544d18ae9801688a53
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size 13156122
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