codonfm-embed
Installation
SKILL.md
Extract public Encodon embeddings
Purpose
Extract one frozen CLS vector per coding sequence with public Encodon v1. Support input validation, command preparation, extraction, and checkpoint selection for translation efficiency, expression, or mRNA stability modeling. Extraction does not automatically train a downstream regressor.
Prerequisites
- Validation needs Python 3 standard library only; no GPU, weights, or API key.
- Execution needs the public CodonFM checkout, its
requirements.txtenvironment, a compatible NVIDIA GPU, and local checkpoint weights. A metadata JSON is not a checkpoint. A.safetensorsfile needs its siblingconfig.json;.ckptcheckpoints are also supported by the public loader. - Run
python -m src.runnerfrom the CodonFM repository root. In an isolated workspace, use supplied source artifacts; source paths below are relative to that checkout or source archive, not this skill directory.