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
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# NetuArk Posts Classifier (Ensemble Architecture)
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This model is a
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The model is trained to classify the following sources:
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- ArsTechnica
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- FT
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# NetuArk Posts Classifier (Ensemble Architecture)
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This model is a ensemble classifier designed to categorize technology-related social media posts into their respective news sources.
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The model is trained to classify the following sources:
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- ArsTechnica
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- FT
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