bert-log-anomaly-detection
AungMoonLord/bert-log-anomaly-detection
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 802
- Total downloadsCumulative all-time download counter reported by the source platform.
- 669.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +256(increase)
- 0.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #802 among tracked Text Classification models.
- #35,233
- 596(down 596 places)this week
- Parameters
- 109M
- Last source update
- Jan 10, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 35.6
- bert-log-anomaly-detection gained 256 downloads during the last seven tracked days.
- It moved from #780 to #802 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-log-anomaly-detection is a text classification model published by AungMoonLord. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- Jan 6, 2026
- Last updated
- Jan 10, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 109,483,778
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 37
transformerssafetensorsberttext-classificationbase_model:google-bert/bert-base-uncasedbase_model:finetune:google-bert/bert-base-uncasedlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Model family
Based on base-model relationships reported by the source's metadata.
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