SentimentArEng
qandos0/SentimentArEng
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 95.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +22.3K(increase)
- 0.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #78 among tracked Text Classification models.
- #2,641
- 7(up 7 places)this week
- Parameters
- 278M
- Last source update
- Dec 14, 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.
- 59.7
- SentimentArEng gained 22.3K downloads during the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
SentimentArEng is a text classification model published by qandos0. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 2, 2026.
- Published
- Dec 14, 2023
- Last updated
- Dec 14, 2023
- Library
- transformers
- License
- —
- Task
- Text Classification
- Parameters
- 278,045,955
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 3,189
transformerssafetensorsxlm-robertatext-classificationarenbase_model:cardiffnlp/twitter-xlm-roberta-base-sentimentbase_model:finetune:cardiffnlp/twitter-xlm-roberta-base-sentimenttext-embeddings-inferenceendpoints_compatibleregion:us
Publisher
qandos0View publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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