xlm-roberta-base-3class-lat-intertext-v1
julian-schelb/xlm-roberta-base-3class-lat-intertext-v1
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 12
- Total downloadsCumulative all-time download counter reported by the source platform.
- 45
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +2(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
- 278M
- Last source update
- Aug 24, 2026
- xlm-roberta-base-3class-lat-intertext-v1 gained 2 downloads during the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-08. Charts appear as daily observations accumulate.
Overview
xlm-roberta-base-3class-lat-intertext-v1 is a text classification model published by julian-schelb. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it Oct 8, 2026.
- Published
- Aug 24, 2026
- Last updated
- Aug 24, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Text Classification
- Parameters
- 278,045,955
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 0
transformerssafetensorsxlm-robertatext-classificationintertextualitylatinmulticlassladataset:julian-schelb/latin-classical-intertextuality-labelsdataset:julian-schelb/latin-classical-intertextuality-corpusdataset:julian-schelb/latin-classical-intertextuality-queriesarxiv:2601.07533
Model family
Based on base-model relationships reported by the source's metadata.
Base model
- xlm-roberta-base14.2M
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