How to use fff5/bike-e5-base-custom-bike with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fff5/bike-e5-base-custom-bike") sentences = [ "query: замок атсека акума PRO павреждён", "passage: Повреждение седла", "passage: Настройка переключателя скоростей", "passage: Повреждение замка отсека АКБ PRO" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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