Instructions to use intfloat/simlm-msmarco-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use intfloat/simlm-msmarco-reranker with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("intfloat/simlm-msmarco-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) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
315af1b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6e238673496cebca899c7ff63e6f3e9dcf856dc7abf8001e5892e0b0b03bff38
size 437960167
|