sentence-transformers How to use seanfarrell/icd11_ner_model_small with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("seanfarrell/icd11_ner_model_small")
sentences = [
"vascular disorders of the stomach",
"vascular disorders of the stomach, unspecified",
"ringworm of the hand",
"anogenital herpes"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
