sentence-transformers How to use rajaji01/semantic-search with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("rajaji01/semantic-search")
sentences = [
"what is a spleen",
"It plays multiple supporting roles in the body it acts as a filter for blood as part of the immune system old red blood cells are recycled in the spleen and platelets and white blood cells are stored there.",
"Mika",
"Size: 28 in (71 cm). Weight: 5 to 20 lbs (2.3 to 9 kg). Size relative to a 6-ft (2-m) man: Domestic cats, no matter their breed, are all members of one species. Felis catus has had a very long relationship with humans.Ancient Egyptians may have first domesticated cats as early as 4,000 years ago."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
