oculus-v2.0-multilingual
danibor/oculus-v2.0-multilingual
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,082
- Total downloadsCumulative all-time download counter reported by the source platform.
- 4,770
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +350(increase)
- 10.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #530 among tracked Text Classification models.
- #20,421
- 518(down 518 places)this week
- Parameters
- 434M
- Last source update
- Apr 4, 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.
- 53.8
- oculus-v2.0-multilingual gained 350 downloads during the last seven tracked days.
- It moved from #524 to #530 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
oculus-v2.0-multilingual is a text classification model published by danibor. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 6, 2026.
- Published
- Apr 4, 2026
- Last updated
- Apr 4, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 434,013,185
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 50
transformerssafetensorsdeberta-v2text-classificationai-detectionmultilingualdeberta-v3knowledge-distillationenesptca
Publisher
daniborView publisher statistics →Derived from desklib/ai-text-detector-v1.01 (reported by the source; parent not yet tracked).
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