tiny-random-BertForSequenceClassification
peft-internal-testing/tiny-random-BertForSequenceClassification
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 57.1K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 349K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +18.4K(increase)
- 6.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #108 among tracked Text Classification models.
- #3,549
- 141(down 141 places)this week
- Parameters
- 88K
- Last source update
- Nov 17, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 69.8
- tiny-random-BertForSequenceClassification gained 18.4K downloads during the last seven tracked days.
- It moved from #105 to #108 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
tiny-random-BertForSequenceClassification is a text classification model published by peft-internal-testing. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 16h ago.
- Published
- Nov 17, 2025
- Last updated
- Nov 17, 2025
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- 87,995
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 2,626
transformerssafetensorsberttext-classificationarxiv:1910.09700text-embeddings-inferenceendpoints_compatibleregion:us
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