Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the kermt container (blocking, minutes-scale).
How to install kermt-infer?
nvidia-bionemo/bionemo-agent-toolkit/kermt-infer
$npx -y skills add nvidia-bionemo/bionemo-agent-toolkit --skill kermt-inferInstalls 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-infer"` 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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