roberta-base-finetuned-jd-binary-chinese
uer/roberta-base-finetuned-jd-binary-chinese
Text Classificationtransformers
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,448
- Total downloadsCumulative all-time download counter reported by the source platform.
- 541.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,436(increase)
- 0.3%(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. #328 among tracked Text Classification models.
- #11,201
- 118(down 118 places)this week
- Parameters
- —
- Last source update
- Oct 17, 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.
- 51.8
- roberta-base-finetuned-jd-binary-chinese gained 1,436 downloads during the last seven tracked days.
- It moved from #321 to #328 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
roberta-base-finetuned-jd-binary-chinese is a text classification model published by uer. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 1, 2026.
- Published
- Mar 2, 2022
- Last updated
- Oct 17, 2023
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 205
transformerspytorchtfjaxberttext-classificationzharxiv:1909.05658arxiv:2212.06385arxiv:1708.02657arxiv:1907.11692endpoints_compatible
Publisher
uerView publisher statistics →Similar models
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