xlmr-large-toxicity-classifier
textdetox/xlmr-large-toxicity-classifier
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,316
- Total downloadsCumulative all-time download counter reported by the source platform.
- 287.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 17
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #295 among tracked Text Classification models.
- #9,937
- –this week
- Parameters
- 278M
- Last source update
- Mar 20, 2025
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
xlmr-large-toxicity-classifier is a text classification model published by textdetox. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Feb 2, 2024
- Last updated
- Mar 20, 2025
- Library
- transformers
- License
- openrail++
- Task
- Text Classification
- Parameters
- 278,045,186
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsxlm-robertatext-classificationtoxicityenruukesdeamar
Publisher
textdetoxView publisher statistics →Derived from FacebookAI/xlm-roberta-large (reported by the source; parent not yet tracked).
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