bert-base-indonesian-1.5G-sentiment-analysis-smsa
ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 57.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +17.6K(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 22
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #107 among tracked Text Classification models.
- #3,530
- 23(down 23 places)this week
- Parameters
- —
- Last source update
- Aug 23, 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.
- 60.2
- bert-base-indonesian-1.5G-sentiment-analysis-smsa gained 17.6K downloads during the last seven tracked days.
- It moved from #105 to #107 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
bert-base-indonesian-1.5G-sentiment-analysis-smsa is a text classification model published by ayameRushia. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 7, 2026.
- Published
- Mar 2, 2022
- Last updated
- Aug 23, 2025
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 2,509
transformerspytorchberttext-classificationgenerated_from_traineriddataset:indonlulicense:mitmodel-indextext-embeddings-inferenceendpoints_compatibleregion:us
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