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
File size: 334 Bytes
b1a68db 27462dc b1a68db 7f97e6e 7b6c4a8 7f97e6e | 1 2 3 4 5 6 7 8 9 | ---
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. |