Text Ranking
sentence-transformers
Safetensors
English
modernbert
cross-encoder
text-classification
sentence-pair-classification
semantic-similarity
semantic-search
retrieval
reranking
Generated from Trainer
dataset_size:40015318
loss:BinaryCrossEntropyLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use redis/langcache-reranker-v2-bce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use redis/langcache-reranker-v2-bce with sentence-transformers:
from sentence_transformers import CrossEncoder model = CrossEncoder("redis/langcache-reranker-v2-bce") 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: 129 Bytes
3ae263c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6b5767dc5e9df46a1618701723827b1233f70830dcbb114907268db46084c22f
size 6353
|