How to use pankajrajdeo/UMLS-ED-Bioformer-16L-V-1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pankajrajdeo/UMLS-ED-Bioformer-16L-V-1") sentences = [ "acanthocephala", "superficial genital wound (epidermal only)", "spiny-headed worm, nos", "fosfodiesterazy 3',5'-cyklicznego amp" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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