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
| license: mit | |
| library_name: sklearn | |
| A simple MLP regressor trained with sklearn. | |
| Uses UCBerkley's [hate speech dataset](https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech) | |
| Visit the [GitHub](https://github.com/ShadowDeveloper/HateSpeechRegressor) to download the training code for the model and vectorizer. |