The "Hate Speech Classification v1" is a model designed to classify hate speech in text data. It has been trained on the "ucberkeley-dlab/measuring-hate-speech" dataset to effectively identify instances of hate speech.
To use the "Hate Speech Classification v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip:
You can load and use the "Hate Speech Classification v1" in your Python code by following these steps:
1from transformers import pipeline
2
3model = pipeline(model="moonstripe/hate_speech_classification_v1")
4model("Hello world")
5
6# Interpret the predictions to determine hate speech classification
7# ...
8
9# Clean up resources as needed
