pubmedbert-base-embeddings
NeuML/pubmedbert-base-embeddings
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1.1M
- Total downloadsCumulative all-time download counter reported by the source platform.
- 16.7M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +221.3K(increase)
- 1.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 198
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #27 among tracked Sentence Similarity models.
- #359
- 3(down 3 places)this week
- Parameters
- 109M
- Last source update
- Apr 21, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 65.7
- pubmedbert-base-embeddings gained 221.3K downloads during the last seven tracked days.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
pubmedbert-base-embeddings is a sentence similarity model published by NeuML. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it Oct 7, 2026.
- Published
- Oct 18, 2023
- Last updated
- Apr 21, 2026
- Library
- sentence-transformers
- License
- apache-2.0
- Task
- Sentence Similarity
- Parameters
- 109,482,240
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 31.6K
sentence-transformerspytorchsafetensorsbertfeature-extractionsentence-similaritytransformersenbase_model:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltextbase_model:finetune:microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltextlicense:apache-2.0text-embeddings-inference
Publisher
NeuMLView publisher statistics →Derived from microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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