code_trans_t5_base_code_documentation_generation_python
SEBIS/code_trans_t5_base_code_documentation_generation_python
Summarizationtransformers
Tracked by OpenModelStats since September 14, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 116
- Total downloadsCumulative all-time download counter reported by the source platform.
- 456.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +43(increase)
- 0.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 18
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #72 among tracked Summarization models.
- #54,063
- 406(down 406 places)this week
- Parameters
- —
- Last source update
- Jun 23, 2021
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 23.0
- code_trans_t5_base_code_documentation_generation_python gained 43 downloads during the last seven tracked days.
- It moved from #70 to #72 among tracked Summarization models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
code_trans_t5_base_code_documentation_generation_python is a summarization model published by SEBIS. OpenModelStats has tracked the model since Sep 14, 2026, most recently observing it 21h ago.
- Published
- Mar 2, 2022
- Last updated
- Jun 23, 2021
- Library
- transformers
- License
- —
- Task
- Summarization
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 6
transformerspytorchjaxt5feature-extractionsummarizationtext-generation-inferenceendpoints_compatibleregion:usdeploy:azure
Publisher
SEBISView publisher statistics →Similar models
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