all-MiniLM-L6-v2-sentiment-classifier
shhossain/all-MiniLM-L6-v2-sentiment-classifier
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 547
- Total downloadsCumulative all-time download counter reported by the source platform.
- 8,167
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +111(increase)
- 1.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 2
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #956 among tracked Text Classification models.
- #40,011
- 948(down 948 places)this week
- Parameters
- 19.3K
- Last source update
- Feb 15, 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.
- 36.3
- all-MiniLM-L6-v2-sentiment-classifier gained 111 downloads during the last seven tracked days.
- It moved from #908 to #956 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
all-MiniLM-L6-v2-sentiment-classifier is a text classification model published by shhossain. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Feb 12, 2024
- Last updated
- Feb 15, 2024
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 19,292
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 16
transformerspytorchsafetensorsSententenceTransformerSentimentClassifiertext-classificationcustom_codeendataset:dair-ai/emotionlicense:apache-2.0region:us
Publisher
shhossainView publisher statistics →Similar models
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