How to use potsu-potsu/medembed-base-mrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("potsu-potsu/medembed-base-mrl") sentences = [ "Do cephalopods use RNA editing less frequently than other species?", "Extensive messenger RNA editing generates transcript and protein diversity in genes involved in neural excitability, as previously described, as well as in genes participating in a broad range of other cellular functions. ", "GV1001 is a 16-amino-acid vaccine peptide derived from the human telomerase reverse transcriptase sequence. It has been developed as a vaccine against various cancers.", "Using acetyl-specific K516 antibodies, we show that acetylation of endogenous S6K1 at this site is potently induced upon growth factor stimulation. We propose that K516 acetylation may serve to modulate important kinase-independent functions of S6K1 in response to growth factor signalling. Following mitogen stimulation, S6Ks interact with the p300 and p300/CBP-associated factor (PCAF) acetyltransferases. S6Ks can be acetylated by p300 and PCAF in vitro and S6K acetylation is detected in cells expressing p300" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
