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DistilBERT for Text Classification

This repository contains a fine-tuned DistilBERT model for text classification. The model is designed to classify text into four categories: SAFE, JAILBREAK, INJECTION, and PHISHING.

Model Details

Base model: DistilBERT (distilbert-base-uncased)
Task: Sequence Classification
Number of labels: 4
Labels: SAFE, JAILBREAK, INJECTION, PHISHING

Usage

To use this model, you can leverage the Hugging Face Transformers library:

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Safetensors

Model size

67M params

Tensor type

F32

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