How to use Phora68/rapha-embed-clinical-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Phora68/rapha-embed-clinical-v1") sentences = [ "back pain. I'm not sure what to make of it.", "Observed: back pain — musculoskeletal system", "Patient is frustrated with the medical system", "OPQRST — Severity: fever rated 7/10 by patient" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/Phora68/rapha-embed-clinical-v1/resolve/main/1_Pooling/config.json
hf download hf://Phora68/rapha-embed-clinical-v1/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/Phora68/rapha-embed-clinical-v1/resolve/main/1_Pooling/config.json
