bert-base-chinese-finetuning-financial-news-sentiment-v2
hw2942/bert-base-chinese-finetuning-financial-news-sentiment-v2
Text Classificationtransformers
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,854
- Total downloadsCumulative all-time download counter reported by the source platform.
- 238.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +450(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 43
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #515 among tracked Text Classification models.
- #20,347
- 978(down 978 places)this week
- Parameters
- —
- Last source update
- Jan 19, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 40.1
- bert-base-chinese-finetuning-financial-news-sentiment-v2 gained 450 downloads during the last seven tracked days.
- It moved from #510 to #515 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
bert-base-chinese-finetuning-financial-news-sentiment-v2 is a text classification model published by hw2942. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 14, 2026.
- Published
- Jun 14, 2023
- Last updated
- Jan 19, 2024
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 64
transformerspytorchberttext-classificationfinancezhendpoints_compatibleregion:us
Publisher
hw2942View publisher statistics →Similar models
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