multilingual-e5-small-emb-lat-intertext-v2
julian-schelb/multilingual-e5-small-emb-lat-intertext-v2
Tracked by OpenModelStats since September 5, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 28
- Total downloadsCumulative all-time download counter reported by the source platform.
- 55
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4(increase)
- 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.
- —
- –this week
- Parameters
- 118M
- Last source update
- Aug 24, 2026
- multilingual-e5-small-emb-lat-intertext-v2 gained 4 downloads during the last seven tracked days.
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 2026-09-05. Charts appear as daily observations accumulate.
Overview
multilingual-e5-small-emb-lat-intertext-v2 is a sentence similarity model published by julian-schelb. OpenModelStats has tracked the model since Sep 5, 2026, most recently observing it Oct 4, 2026.
- Published
- Aug 24, 2026
- Last updated
- Aug 24, 2026
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 117,653,760
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 1
sentence-transformerssafetensorsbertsentence-similarityintertextualitylatinladataset:julian-schelb/latin-classical-intertextuality-labelsdataset:julian-schelb/latin-classical-intertextuality-corpusdataset:julian-schelb/latin-classical-intertextuality-queriesarxiv:2601.07533base_model:intfloat/multilingual-e5-small
Model family
Based on base-model relationships reported by the source's metadata.
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