How to use wwydmanski/specter2_pubmed-v0.7-full with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("wwydmanski/specter2_pubmed-v0.7-full") sentences = [ "UCLR RTS timing", "Timing without a timer. ", "Global structural changes in annexin 12. The roles of phospholipid, Ca2+, and pH. ", "Length of time between surgery and return to sport after ulnar collateral ligament reconstruction in Major League Baseball pitchers does not predict need for revision surgery. " ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
