Text Ranking
sentence-transformers
Safetensors
French
bert
passage-reranking
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/crossencoder-me5-small-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/crossencoder-me5-small-mmarcoFR with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("antoinelouis/crossencoder-me5-small-mmarcoFR") 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: 133 Bytes
a782018 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4819c19856c81ff60189198b8e3c55cc75ad628a7cc639848d563b434f951efb
size 17083075
|