Instructions to use Phase-Technologies/netuark-classifier-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Phase-Technologies/netuark-classifier-ensemble with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Phase-Technologies/netuark-classifier-ensemble", "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
- Xet hash:
- cbbbbc6ef2d6b5fd010e317ee4e943d8f1b5978037135864da9ace1132c1cc61
- Size of remote file:
- 8.62 MB
- SHA256:
- faf0028e5893f94fbab688b53e9010a9fa9265e92b8de6ad97ae799cc59a2404
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