| # Hate Speech Classification v1 |
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| ## Overview |
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| 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. |
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| ## Usage |
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| ### Installation |
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| To use the "Hate Speech Classification v1," you'll need to have the Hugging Face Transformers library installed. You can install it using pip: |
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| ```bash |
| pip install transformers |
| ``` |
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| ### Usage |
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| You can load and use the "Hate Speech Classification v1" in your Python code by following these steps: |
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| ```python |
| from transformers import pipeline |
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| model = pipeline(model="moonstripe/hate_speech_classification_v1") |
| model("Hello world") |
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| # Interpret the predictions to determine hate speech classification |
| # ... |
| |
| # Clean up resources as needed |
| `````` |
