hate_speech_classification_v1

Hate Speech Classification v1

Overview

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.

Usage

Installation

To use the "Hate Speech Classification v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip:

pip install transformers

Usage

You can load and use the "Hate Speech Classification v1" in your Python code by following these steps:

from transformers import pipeline

model = pipeline(model="moonstripe/hate_speech_classification_v1")
model("Hello world")

# Interpret the predictions to determine hate speech classification
# ...

# Clean up resources as needed