How to use AronowLab/bond-embed-v1-fp16 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AronowLab/bond-embed-v1-fp16") sentences = [ "Treponema caused disease or disorder", "bejel", "tumor of ureter", "debrisoquine, ultrarapid metabolism of" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The community tab is the place to discuss and collaborate with the HF community!
