actionable-policy-bert-base-multilingual-uncased-f1_weighted
faodl/actionable-policy-bert-base-multilingual-uncased-f1_weighted
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 767
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,605
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +196(increase)
- 3.9%(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. #841 among tracked Text Classification models.
- #36,612
- 471(down 471 places)this week
- Parameters
- 167M
- Last source update
- Dec 10, 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.
- 45.3
- actionable-policy-bert-base-multilingual-uncased-f1_weighted gained 196 downloads during the last seven tracked days.
- It moved from #834 to #841 among tracked Text Classification models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
actionable-policy-bert-base-multilingual-uncased-f1_weighted is a text classification model published by faodl. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 24h ago.
- Published
- Dec 10, 2024
- Last updated
- Dec 10, 2024
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- 167,357,954
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 28
transformerssafetensorsberttext-classificationarxiv:1910.09700text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
faodlView publisher statistics →Similar models
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