How to use kivanc/test with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kivanc/test") sentences = [ "Omegaven contains no more than 25 mcg/L of aluminum.", "The rabbits are maintained in a closed colony that is controlled and routinely monitored for specific pathogens.", "The imprinting ink contains propylene glycol, shellac and titanium dioxide.", "Omegaven has an osmolality of approximately 342 mOsm/kg water (which represents an osmolarity of 273 mOsm/L)." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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