Continue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model bundles, prepared data, logs, and checkpoints to user-selected host directories.
Install
npx skills add NVIDIA/skills --skill kermt-continue-pretrainnpx skills add NVIDIA/skills --skill kermt-continue-pretrain -a claude-code -gnpx skills add NVIDIA/skills --skill kermt-continue-pretrain -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/bionemo-kermt-continue-pretraingh skill install NVIDIA/skills kermt-continue-pretraingit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/bionemo-kermt-continue-pretrain ~/.claude/skills/kermt-continue-pretrain # Claude Code
cp -R /tmp/NVIDIA__skills/skills/bionemo-kermt-continue-pretrain ~/.agents/skills/kermt-continue-pretrain # Codex, Cursor, Gemini CLI, Copilot, OpenCode