tiny-random-BertForSequenceClassification
ydshieh/tiny-random-BertForSequenceClassification
Text Classificationtransformers
Tracked by OpenModelStats since September 16, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,334
- Total downloadsCumulative all-time download counter reported by the source platform.
- 19.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,336(increase)
- 7.6%(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. #302 among tracked Text Classification models.
- #11,032
- 123(up 123 places)this week
- Parameters
- —
- Last source update
- Oct 28, 2022
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 63.7
- tiny-random-BertForSequenceClassification gained 1,336 downloads during the last seven tracked days.
- It moved from #315 to #302 among tracked Text Classification models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
tiny-random-BertForSequenceClassification is a text classification model published by ydshieh. OpenModelStats has tracked the model since Sep 16, 2026, most recently observing it Sep 23, 2026.
- Published
- Oct 28, 2022
- Last updated
- Oct 28, 2022
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 191
transformerspytorchtfberttext-classificationtext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
ydshiehView publisher statistics →Similar models
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