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]
https://huggingface.co/seanfarrell/icd11_synonym_model/resolve/main/tokenizer.json
hf download hf://seanfarrell/icd11_synonym_model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/seanfarrell/icd11_synonym_model/resolve/main/tokenizer.json
