metadata
license: mit
library_name: sentence-transformers
pipeline_tag: feature-extraction
base_model: SchwallerGroup/CheMatE-v0-MLM
language:
- en
tags:
- sentence-transformers
- feature-extraction
- chemistry
- cheminformatics
- embeddings
- modernbert
CheMatE
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
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.