How to use seanfarrell/icd11_embed_model_v2_large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seanfarrell/icd11_embed_model_v2_large") sentences = [ "anaemia", "anaemic nos", "scurvy", "foreign body" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/seanfarrell/icd11_embed_model_v2_large/resolve/main/tokenizer_config.json
hf download hf://seanfarrell/icd11_embed_model_v2_large/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/seanfarrell/icd11_embed_model_v2_large/resolve/main/tokenizer_config.json
