ChemBERTa_augmented_pubchem_13m
Derify/ChemBERTa_augmented_pubchem_13m
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,078
- Total downloadsCumulative all-time download counter reported by the source platform.
- 158.9K
- 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.
- 1
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #454 among tracked Fill Mask models.
- #24,922
- –this week
- Parameters
- 44M
- Last source update
- Aug 29, 2025
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
ChemBERTa_augmented_pubchem_13m is a fill mask model published by Derify. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 4h ago.
- Published
- Feb 7, 2025
- Last updated
- Aug 29, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Fill Mask
- Parameters
- 43,963,205
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsrobertafill-maskChemBERTacheminformaticsdataset:Derify/augmented_canonical_pubchem_13marxiv:2010.09885arxiv:2209.01712license:apache-2.0model-indexendpoints_compatible
Publisher
DerifyView publisher statistics →Similar models
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