How to use seanfarrell/icd11_ner_model_v2_large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seanfarrell/icd11_ner_model_v2_large") sentences = [ "hypoxic ischaemic encephalopathy in diseases classified elsewhere", "other specified hypoxic-ischaemic encephalopathy", "monocytopenia", "isolated benign cerebral vasculitis" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
