Instructions to use hotchpotch/japanese-reranker-cross-encoder-xsmall-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use hotchpotch/japanese-reranker-cross-encoder-xsmall-v1 with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("hotchpotch/japanese-reranker-cross-encoder-xsmall-v1") 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) - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
110312e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
size 5069051
|