roberta-base-finetuned-dianping-chinese
uer/roberta-base-finetuned-dianping-chinese
Text Classificationtransformers
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 3,604
- Total downloadsCumulative all-time download counter reported by the source platform.
- 394.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,099(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.
- 74
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #421 among tracked Text Classification models.
- #14,213
- 80(down 80 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.
- 50.4
- roberta-base-finetuned-dianping-chinese gained 1,099 downloads during the last seven tracked days.
- It moved from #417 to #421 among tracked Text Classification models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
roberta-base-finetuned-dianping-chinese is a text classification model published by uer. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 6, 2026.
- Published
- Mar 2, 2022
- Last updated
- Oct 17, 2023
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 157
transformerspytorchtfjaxberttext-classificationzharxiv:1909.05658arxiv:2212.06385arxiv:1708.02657arxiv:1907.11692endpoints_compatible
Publisher
uerView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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