rubert-tiny-sentiment-balanced-ONNX
onnx-community/rubert-tiny-sentiment-balanced-ONNX
Text Classificationtransformers.js
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 45
- Total downloadsCumulative all-time download counter reported by the source platform.
- 492
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +12(increase)
- 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. #1621 among tracked Text Classification models.
- #54,850
- 398(down 398 places)this week
- Parameters
- —
- Last source update
- Sep 1, 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.
- 12.4
- rubert-tiny-sentiment-balanced-ONNX gained 12 downloads during the last seven tracked days.
- It moved from #1612 to #1621 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
rubert-tiny-sentiment-balanced-ONNX is a text classification model published by onnx-community. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Apr 17, 2025
- Last updated
- Sep 1, 2025
- Library
- transformers.js
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 2
transformers.jsonnxberttext-classificationbase_model:cointegrated/rubert-tiny-sentiment-balancedbase_model:quantized:cointegrated/rubert-tiny-sentiment-balancedregion:us
Model family
Based on base-model relationships reported by the source's metadata.
Base model
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