papluca-xlm-roberta-base-language-detection-ov
helenai/papluca-xlm-roberta-base-language-detection-ov
Text Classificationtransformers
Tracked by OpenModelStats since September 9, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 537
- Total downloadsCumulative all-time download counter reported by the source platform.
- 10.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +115(increase)
- 1.2%(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. #981 among tracked Text Classification models.
- #41,899
- 422(down 422 places)this week
- Parameters
- —
- Last source update
- May 22, 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.
- 35.7
- papluca-xlm-roberta-base-language-detection-ov gained 115 downloads during the last seven tracked days.
- It moved from #979 to #981 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
papluca-xlm-roberta-base-language-detection-ov is a text classification model published by helenai. OpenModelStats has tracked the model since Sep 9, 2026, most recently observing it 33h ago.
- Published
- Mar 11, 2023
- Last updated
- May 22, 2024
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 16
transformersopenvinoxlm-robertatext-classificationentext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
helenaiView publisher statistics →Similar models
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