distilbert-base-uncased-finetuned-sms-spam-detection
mariagrandury/distilbert-base-uncased-finetuned-sms-spam-detection
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 235
- Total downloadsCumulative all-time download counter reported by the source platform.
- 9,591
- 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.
- 3
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- 67M
- Last source update
- Apr 13, 2023
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
distilbert-base-uncased-finetuned-sms-spam-detection is a text classification model published by mariagrandury. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4h ago.
- Published
- Mar 2, 2022
- Last updated
- Apr 13, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 66,955,010
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtensorboardsafetensorsdistilberttext-classificationgenerated_from_trainerdataset:sms_spamdoi:10.57967/hf/1993license:apache-2.0model-indextext-embeddings-inference
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