cross-encoder-mmarco-mMiniLMv2-L12-H384-v1
corrius/cross-encoder-mmarco-mMiniLMv2-L12-H384-v1
Text Classificationtransformers
Tracked by OpenModelStats since September 9, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,547
- Total downloadsCumulative all-time download counter reported by the source platform.
- 475.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +695(increase)
- 0.1%(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. #596 among tracked Text Classification models.
- #25,567
- 2110(down 2110 places)this week
- Parameters
- —
- Last source update
- Sep 28, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 46.3
- cross-encoder-mmarco-mMiniLMv2-L12-H384-v1 gained 695 downloads during the last seven tracked days.
- It moved from #569 to #596 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
cross-encoder-mmarco-mMiniLMv2-L12-H384-v1 is a text classification model published by corrius. OpenModelStats has tracked the model since Sep 9, 2026, most recently observing it Oct 9, 2026.
- Published
- Sep 21, 2023
- Last updated
- Sep 28, 2023
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 99
transformerspytorchxlm-robertatext-classificationtext-embeddings-inferenceendpoints_compatibleregion:usdeploy:azure
Publisher
corriusView publisher statistics →Similar models
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