How to use zeroentropy/zerank-2-reranker with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("zeroentropy/zerank-2-reranker") query = "Which planet is known as the Red Planet?" passages = [ "Venus is often called Earth's twin because of its similar size and proximity.", "Mars, known for its reddish appearance, is often referred to as the Red Planet.", "Jupiter, the largest planet in our solar system, has a prominent red spot.", "Saturn, famous for its rings, is sometimes mistaken for the Red Planet." ] scores = model.predict([(query, passage) for passage in passages]) print(scores)
Hi,
Could you tell me if this model supports multiple languages, and if so, which languages it supports?There is some information in the white paper that suggests it supports multiple languages, but it isn't explicitly stated.
Thanks in advance!
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