A ModernBERT-based embedding model for chemistry, producing embeddings for both molecular (SMILES) and natural-language chemistry inputs. Fine-tuned from SchwallerGroup/CheMatE-v0-MLM.

Usage

python

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("SchwallerGroup/CheMatE-v0")
emb = model.encode(["aspirin reduces inflammation", "CC(=O)Oc1ccccc1C(=O)O"], normalize_embeddings=True)

License

MIT.