distilbert-base-uncased-sentiment-reddit-crypto
mwkby/distilbert-base-uncased-sentiment-reddit-crypto
Tracked by OpenModelStats since September 2, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 85
- Total downloadsCumulative all-time download counter reported by the source platform.
- 18.8K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +11(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.
- 18
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #907 among tracked Text Classification models.
- #33,472
- 4846(down 4846 places)this week
- Parameters
- —
- Last source update
- Jan 24, 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.
- 22.3
- distilbert-base-uncased-sentiment-reddit-crypto gained 11 downloads during the last seven tracked days.
- It moved from #695 to #907 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
distilbert-base-uncased-sentiment-reddit-crypto is a text classification model published by mwkby. OpenModelStats has tracked the model since Sep 2, 2026, most recently observing it Oct 2, 2026.
- Published
- Jan 22, 2023
- Last updated
- Jan 24, 2023
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 2
transformerspytorchdistilberttext-classificationgenerated_from_trainerlicense:apache-2.0text-embeddings-inferenceendpoints_compatibleregion:us
Publisher
mwkbyView publisher statistics →Similar models
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