xlm-roberta-base-language-detection
papluca/xlm-roberta-base-language-detection
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 391.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 64.2M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +94.4K(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.
- 377
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #23 among tracked Text Classification models.
- #934
- 9(down 9 places)this week
- Parameters
- 278M
- Last source update
- Dec 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.
- 59.5
- xlm-roberta-base-language-detection gained 94.4K downloads during the last seven tracked days.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
xlm-roberta-base-language-detection is a text classification model published by papluca. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 5, 2026.
- Published
- Mar 2, 2022
- Last updated
- Dec 28, 2023
- Library
- transformers
- License
- mit
- Task
- Text Classification
- Parameters
- 278,059,542
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 13.5K
transformerspytorchtfsafetensorsxlm-robertatext-classificationgenerated_from_trainermultilingualarbgdeel
Publisher
paplucaView publisher statistics →Derived from FacebookAI/xlm-roberta-base (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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