How to use seanfarrell/icd11_ner_model_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seanfarrell/icd11_ner_model_v2") 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]
https://huggingface.co/seanfarrell/icd11_ner_model_v2/resolve/main/tokenizer.json
hf download hf://seanfarrell/icd11_ner_model_v2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/seanfarrell/icd11_ner_model_v2/resolve/main/tokenizer.json
