Instructions to use ShadowProgrammer/HateSpeechRegressor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ShadowProgrammer/HateSpeechRegressor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ShadowProgrammer/HateSpeechRegressor", "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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license: mit
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library_name: sklearn
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Saved as a .pkl file.
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license: mit
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library_name: sklearn
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---
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A simple MLP regressor trained with sklearn.
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Uses UCBerkley's [hate speech dataset](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech)
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Visit the [GitHub](https://github.com/ShadowDeveloper/HateSpeechRegressor) to download the training code for the model and vectorizer.
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