kermt-embed
kermt-embed is an agent skill published by nvidia. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Extracts per-molecule embeddings from KERMT checkpoint models, optionally using a Hugging Face model bundle with an HF_TOKEN. Runs containerized extraction and saves outputs to user-selected directories.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
Maintenance
Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles, per-readout .npy embeddings, canonical SMILES, and validity arrays to user-selected host directories.
Common questions about kermt-embed
- What does kermt-embed do?
- Extracts per-molecule embeddings from KERMT checkpoint models, optionally using a Hugging Face model bundle with an HF_TOKEN. Runs containerized extraction and saves outputs to user-selected directories.
- How do I install kermt-embed?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes kermt-embed?
- nvidia.
- Is kermt-embed maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.