How to use Stevenf232/SapBERT_ContrastiveLoss_BC5CDR_Context with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Stevenf232/SapBERT_ContrastiveLoss_BC5CDR_Context") sentences = [ "liver injury [SEP] d up all transplant-free survivors of paracetamol-induced acute liver injury, hospitalized in a Danish national referral centre during 1984-", "Drug-Induced Liver Injury [SEP] A spectrum of clinical liver diseases ranging from mild biochemical abnormalities to ACUTE LIVER FAILURE, caused by drugs, drug ", "Venous Thrombosis [SEP] The formation or presence of a blood clot (THROMBUS) within a vein.\n ", "Isoflurophate [SEP] A di-isopropyl-fluorophosphate which is an irreversible cholinesterase inhibitor used to investigate the NERVOUS SYSTEM.\n " ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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