How to use ashercn97/medical-v003 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ashercn97/medical-v003") sentences = [ "code: 192724", "description: Secondary and unspecified malignant neoplasm of axilla and upper limb lymph nodes", "description: ROD PRE-CUT 4.5X90MM", "description: IODINE MS QN EACH SPEC Injectable Drugs Not on Fee Schedule" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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