How to use CloudlessSky/fullname_encoder_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("CloudlessSky/fullname_encoder_v1") sentences = [ "ганиев сайфул ганий", "готин анатолий георгиевич", "виличко ефим михойлофич", "нпниев сайфул ганий" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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