t5-large-generation-squad-QuestionAnswer
potsawee/t5-large-generation-squad-QuestionAnswer
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 731
- Total downloadsCumulative all-time download counter reported by the source platform.
- 89.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +54(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.
- 49
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #10185 among tracked Text Generation models.
- #37,427
- 2263(down 2263 places)this week
- Parameters
- —
- Last source update
- Mar 12, 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.
- 24.9
- t5-large-generation-squad-QuestionAnswer gained 54 downloads during the last seven tracked days.
- It moved from #9472 to #10185 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
t5-large-generation-squad-QuestionAnswer is a text generation model published by potsawee. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 7, 2026.
- Published
- Mar 12, 2023
- Last updated
- Mar 12, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- —
- Spaces
- 10
- Derivative models
- —
- Velocity 7D/day
- 8
transformerspytorcht5text2text-generationendataset:squadarxiv:2301.12307license:apache-2.0text-generation-inferenceendpoints_compatibledeploy:azureregion:us
Publisher
potsaweeView publisher statistics →Similar models
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