topic-classification-IPTC-subject-labels
KnutJaegersberg/topic-classification-IPTC-subject-labels
Text Classificationsentence-transformers
Tracked by OpenModelStats since October 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 176
- Total downloadsCumulative all-time download counter reported by the source platform.
- 1,742
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
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- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 9
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
- —
- Last source update
- Mar 16, 2023
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-10-03. Charts appear as daily observations accumulate.
Overview
topic-classification-IPTC-subject-labels is a text classification model published by KnutJaegersberg. OpenModelStats has tracked the model since Oct 3, 2026, most recently observing it 1h ago.
- Published
- Feb 12, 2023
- Last updated
- Mar 16, 2023
- Library
- sentence-transformers
- License
- —
- Task
- Text Classification
- Parameters
- —
- Spaces
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- Derivative models
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- Velocity 7D/day
- —
sentence-transformerspytorchxlm-robertafeature-extractiontransformersSetFitNewstext-classificationdataset:KnutJaegersberg/News_topics_IPTC_codes_longtext-embeddings-inferenceendpoints_compatibleregion:us
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