sentence-transformers How to use cafierom/smiles_embedding_gemma_FT with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("cafierom/smiles_embedding_gemma_FT")
sentences = [
"C[C@H](CCCC(C)(C)O)[C@H]1CC[C@H]2[C@@H]3CC=C4C[C@@H](O)CC[C@]4(C)[C@H]3CC[C@]12C",
"CC(C)n1c(CC[C@@H](O)C[C@@H](O)CC([O-])=O)c(c(c1C(=O)NCc1ccccn1)-c1ccccc1)-c1ccc(F)cc1",
"Cc1cc(OCc2ccccc2)cc(C)c1\\C=C\\[C@@H]1C[C@@H](O)CC(=O)O1",
"Cc1ccc(C2CC3CCC2C=C3)n1CC[C@@H]1C[C@@H](O)CC(=O)O1"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
