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nkgevorgyan/detoxify-multilingual
detoxify-multilingual is a text classification model from nkgevorgyan. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Mirror of the Detoxify multilingual model checkpoint for offline use.
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Updated Dec 9, 2025
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.ckpt1.1 GB · 100%
From the Hugging Face model README
Mirror of the Detoxify multilingual model checkpoint for offline use.
Original source: unitary/detoxify
multilingual_debiased-0b549669.ckptfrom detoxify import Detoxify
model = Detoxify('multilingual')
result = model.predict("Your text here")
print(result)
multilingual_debiased-0b549669.ckpt from this repo~/.cache/torch/hub/checkpoints/from detoxify import Detoxify
# Works offline if checkpoint is in cache
model = Detoxify('multilingual', device='cpu')
result = model.predict("Your text here")
The model predicts scores for:
toxicity - Overall toxicitysevere_toxicity - Severe toxic contentobscene - Obscene languagethreat - Threatening languageinsult - Insultsidentity_attack - Attacks on identity@misc{detoxify,
title={Detoxify},
author={Hanu, Laura and Unitary team},
howpublished={Github. https://github.com/unitaryai/detoxify},
year={2020}
}