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Freakdivi
/
Task_Classifier

Text Classification
Transformers
Joblib
Scikit-learn
English
bert
query-routing
mlp
Model card Files Files and versions
xet
Community

Instructions to use Freakdivi/Task_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Freakdivi/Task_Classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Freakdivi/Task_Classifier")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Freakdivi/Task_Classifier", dtype="auto")
  • Scikit-learn

    How to use Freakdivi/Task_Classifier with Scikit-learn:

    from huggingface_hub import hf_hub_download
    import joblib
    model = joblib.load(
    	hf_hub_download("Freakdivi/Task_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
Task_Classifier
1.55 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Freakdivi's picture
Freakdivi
initial commit
5ab220d verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    28 Bytes
    initial commit 7 months ago