distilbert-base-uncased-mnli
typeform/distilbert-base-uncased-mnli
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 449.9K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 6.9M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 45
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #5 among tracked Zero-Shot Classification models.
- #884
- –this week
- Parameters
- 67M
- Last source update
- Mar 22, 2023
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
distilbert-base-uncased-mnli is a zero-shot classification model published by typeform. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 12 min ago.
- Published
- Mar 2, 2022
- Last updated
- Mar 22, 2023
- Library
- transformers
- License
- —
- Task
- Zero-Shot Classification
- Parameters
- 66,955,779
- Spaces
- 100
- Derivative models
- —
- Velocity 7D/day
- —
transformerspytorchtfsafetensorsdistilberttext-classificationzero-shot-classificationendataset:multi_nliarxiv:1910.09700arxiv:2105.09680endpoints_compatible
Publisher
typeformView publisher statistics →Similar models
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