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# 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
`````` |