How to use lv12/esci-nomic-embed-text-v1_5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lv12/esci-nomic-embed-text-v1_5", trust_remote_code=True) sentences = [ "search_query: shark", "search_query: skull", "search_query: car picture frame", "search_query: cartera de guchi" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
