nli-deberta-v3-large
cross-encoder/nli-deberta-v3-large
Tracked by OpenModelStats since August 31, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 94K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3.2M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +24.3K(increase)
- 0.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 45
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #15 among tracked Zero-Shot Classification models.
- #2,865
- 58(up 58 places)this week
- Parameters
- 435M
- Last source update
- Apr 15, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 61.7
- nli-deberta-v3-large gained 24.3K downloads during the last seven tracked days.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
nli-deberta-v3-large is a zero-shot classification model published by cross-encoder. OpenModelStats has tracked the model since Aug 31, 2026, most recently observing it Sep 30, 2026.
- Published
- Mar 2, 2022
- Last updated
- Apr 15, 2025
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Zero-Shot Classification
- Parameters
- 435,065,347
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 3,477
sentence-transformerspytorchonnxsafetensorsdeberta-v2text-classificationtransformerszero-shot-classificationendataset:nyu-mll/multi_nlidataset:stanfordnlp/snlibase_model:microsoft/deberta-v3-large
Publisher
cross-encoderView publisher statistics →Derived from microsoft/deberta-v3-large (reported by the source; parent not yet tracked).
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