---
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`](https://huggingface.co/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.