roberta_toxicity_classifier
s-nlp/roberta_toxicity_classifier
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 128.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +32.6K(increase)
- 0.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 75
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #58 among tracked Text Classification models.
- #2,105
- 4(up 4 places)this week
- Parameters
- —
- Last source update
- Nov 8, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 61.5
- roberta_toxicity_classifier gained 32.6K downloads during the last seven tracked days.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
roberta_toxicity_classifier is a text classification model published by s-nlp. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.
- Published
- Mar 2, 2022
- Last updated
- Nov 8, 2024
- Library
- transformers
- License
- openrail++
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 4,654
transformerspytorchrobertatext-classificationtoxic comments classificationendataset:google/jigsaw_toxicity_predarxiv:1907.11692base_model:FacebookAI/roberta-largebase_model:finetune:FacebookAI/roberta-largelicense:openrail++endpoints_compatible
Publisher
s-nlpView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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