How to use seanfarrell/icd11_synonym_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seanfarrell/icd11_synonym_model") sentences = [ "anal ectopia", "Acute Chagas disease without heart involvement", "Ectopic anus", "chronic inactive rheumatic heart disease" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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