mediclaim_embedding
surajvbangera/mediclaim_embedding
Tracked by OpenModelStats since September 20, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 526
- Total downloadsCumulative all-time download counter reported by the source platform.
- 770
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #745 among tracked Sentence Similarity models.
- #43,242
- 460(down 460 places)this week
- Parameters
- 109M
- Last source update
- Mar 11, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 0.0
- It moved from #739 to #745 among tracked Sentence Similarity models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
mediclaim_embedding is a sentence similarity model published by surajvbangera. OpenModelStats has tracked the model since Sep 20, 2026, most recently observing it Oct 10, 2026.
- Published
- Mar 11, 2025
- Last updated
- Mar 11, 2025
- Library
- sentence-transformers
- License
- —
- Task
- Sentence Similarity
- Parameters
- 109,486,464
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
sentence-transformerssafetensorsmpnetsentence-similarityfeature-extractiongenerated_from_trainerdataset_size:956loss:MatryoshkaLossloss:MultipleNegativesRankingLossdataset:surajvbangera/mediclaimarxiv:1908.10084arxiv:2205.13147
Publisher
surajvbangeraView publisher statistics →Derived from sentence-transformers/multi-qa-mpnet-base-cos-v1 (reported by the source; parent not yet tracked).
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