Finetune a pretrained KERMT encoder on a labeled CSV. The skill validates the input checkpoint (must be a pretrain ckpt — grover_base / cmim / hybrid), validates the labeled CSV, prepares the data (clean + features + optional split), then launches main.py finetune inside the kermt container (detached for hours-scale runs). Hyperparameters come from agent/config/defaults_finetune.json with per-flag CLI override.
How to install kermt-finetune?
nvidia-bionemo/bionemo-agent-toolkit/kermt-finetune
$npx -y skills add nvidia-bionemo/bionemo-agent-toolkit --skill kermt-finetuneInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" --skill "nvidia-bionemo/bionemo-agent-toolkit/kermt-finetune"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/nvidia-bionemo/bionemo-agent-toolkit" that are relevant to the current task. Run `npx skills add "https://github.com/nvidia-bionemo/bionemo-agent-toolkit"` and select the relevant skills, then follow their instructions.
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