infernogod/enzyme-model
AI model by infernogod
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Model card & documentation
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Submission for the Leak CURBER enzyme classification task (leak-curber-enzyme-classification). Only the provided train.parquet is used. No external labelled data. Training sequences were clustered at 50% identity (diamond cluster). The clusters were split into 15 folds, and each fold was searched against the other 14. This mimics the official validation set, where the median top-hit identity to train is 44%. The result is 434k candidate rows from 181k queries, and the EC reliability features are computed out-of-fold. These numbers cover queries that have at least one hit. About 5%…
Read the full model card ↗ · Preview checked 2026-10-30T00:21:20.994Z
Inside the original model card — Document outline
- Enzyme classification: DIAMOND homology + learned EC re-ranker (v6)
- Pipeline
- Training the re-ranker without leakage
- Local results (cluster-held-out, queries with a top hit below 58% identity)
- Robustness
- Runtime
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Model overview
infernogod/enzyme-model is a task-unspecified model repository published by infernogod on Hugging Face. A library was not reported.
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Model facts
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- Created
- 2026-10-25T06:41:16.000Z
- Last modified
- 2026-10-25T06:41:16.000Z
Compatibility and lineage
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-25T06:46:38.979Z. Daily imports are snapshots, not real-time monitoring.
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