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SchwallerGroup/CheMatE-v0
CheMatE-v0 is a feature extraction model from SchwallerGroup. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as mit.
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.
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From the Hugging Face model README
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.
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("SchwallerGroup/CheMatE-v0")
emb = model.encode(["aspirin reduces inflammation", "CC(=O)Oc1ccccc1C(=O)O"], normalize_embeddings=True)
MIT.