sentence-transformers How to use fpc/bge-micro-smiles with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("fpc/bge-micro-smiles")
sentences = [
"donepezil hydrochloride monohydrate",
"Cn1nccc1[C@H]1CC[C@H](O[Si](C)(C)C(C)(C)C)C[C@@H]1OC(=O)c1ccccc1",
"COc1cc2c(cc1OC)C(=O)C(CC1CCN(Cc3ccccc3)CC1)C2.Cl.O",
"C(=O)(OC)C1=CC=C(C=C1)CC(C)=O"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
