How to use yoyo458/BioBERT_GOUniProt_FineTuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yoyo458/BioBERT_GOUniProt_FineTuned") sentences = [ "metalloendopeptidase activity", "Cysteine protease. May have an important role in corneal physiology. .", "Metalloprotease (PubMed:16585064, PubMed:39672391). Was previously shown to degrade COMP (PubMed:16585064). However, a later study found no activity against COMP (PubMed:39672391). .", "Degrades casein, gelatins of types I, III, IV, and V, and fibronectin. Activates procollagenase. ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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