RAJESHKANNA21/bart-large-toxic-detoxification

language: en tags: - text2text-generation - text-style-transfer - detoxification - bart model-index: - name: AgenticDetox-BART results: - task: type: text-style-transfer name: Text Detoxification dataset: name: DetoxLLM Benchmark type: custom metrics: - type: joint_score value: 63.95 name: Joint Score

AgenticDetox-BART

This model is a fine-tuned version of facebook/bart-large designed for text detoxification (text style transfer). It rewrites harmful, aggressive, or offensive text into neutral, non-toxic language while preserving the original meaning and intent.

Model Description Model type: Sequence-to-Sequence (Seq2Seq) Transformer Base model: facebook/bart-large Language:English Paper: AgenticDetox: Recursive Agentic Reasoning Framework with RAG for Detoxification

Usage

You can use this model directly with the transformers library using a pipeline for text-to-text generation.

from transformers import pipeline

# Load the model
detoxifier = pipeline("text2text-generation", model="RAJESHKANNA21/bart-large-toxic-detoxification")

# Test with a toxic input
toxic_text = "It's all good. They made a really stupid comment that would piss any reasonable person off."
detoxified_text = detoxifier(toxic_text, max_length=50)

print(detoxified_text[0]['generated_text'])
# Expected Output: "It's all good. They made a really thoughtless comment that would upset a reasonable person."
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