sentence-transformers 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] 
