How to use yosriku/embeddinggemma-300m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yosriku/embeddinggemma-300m") sentences = [ "alamat persis siloam kebon jeruk", "Lokasinya di JALAN METRO TANJUNG BUNGA KAV. 9 TANJUNG MERDEKA - TAMALATE MAKASSAR", "Nama lain Siloam Duren Tiga adalah Siloam Hospitals ASRI atau SH ASRI", "Lokasinya di Jl. Perjuangan No.8, RT.14/RW.10, Kb. Jeruk, Kec. Kb. Jeruk, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta 11530" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
