| --- |
| 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. |
|
|
