# 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:

```bash
pip install transformers
```

### Usage

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

```python
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
``````