How to use potsu-potsu/snowflake-arctic-embed-tsdae with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("potsu-potsu/snowflake-arctic-embed-tsdae") sentences = [ "at of 6 years revealed with elevation and protein", "Cardiac examination at the age of 6 years revealed constrictive pericarditis with significant elevation of atrial filling pressures, consecutive hepatomegaly, and protein loosing enteropathy", "The overall mortality rate was 50%", "01), and deletion mutations in all nine exons of HPRT gene" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
