Instructions to use zeroentropy/zerank-2-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
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) - Notebooks
- Google Colab
- Kaggle
Update README.md (#1)
Browse files- Update README.md (c556bfec9e41cd93f74608bb020d264ba7b94883)
Co-authored-by: Ghita <ghita-ha@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -23,9 +23,10 @@ In search engines, [rerankers are crucial](https://www.zeroentropy.dev/blog/what
|
|
| 23 |
|
| 24 |
However, SOTA rerankers are closed-source and proprietary. At ZeroEntropy, we've trained a SOTA reranker outperforming closed-source competitors, and we're launching our model here on HuggingFace.
|
| 25 |
|
| 26 |
-
This reranker [outperforms proprietary rerankers](https://
|
| 27 |
|
| 28 |
-
At ZeroEntropy we've developed an innovative multi-stage pipeline that models query-document relevance scores as adjusted [Elo ratings](https://en.wikipedia.org/wiki/Elo_rating_system). See our Technical Report (
|
|
|
|
| 29 |
|
| 30 |
This model is released under a non-commercial license. If you'd like a commercial license, please contact us at contact@zeroentropy.dev.
|
| 31 |
|
|
|
|
| 23 |
|
| 24 |
However, SOTA rerankers are closed-source and proprietary. At ZeroEntropy, we've trained a SOTA reranker outperforming closed-source competitors, and we're launching our model here on HuggingFace.
|
| 25 |
|
| 26 |
+
This reranker [outperforms proprietary rerankers](https://www.zeroentropy.dev/articles/zerank-2-advanced-instruction-following-multimodal-reranker) such as `cohere-rerank-v3.5` and `gemini-2.5-flash` across a wide variety of domains, including finance, legal, code, STEM, medical, and conversational data.
|
| 27 |
|
| 28 |
+
At ZeroEntropy we've developed an innovative multi-stage pipeline that models query-document relevance scores as adjusted [Elo ratings](https://en.wikipedia.org/wiki/Elo_rating_system). See our Technical Report (https://arxiv.org/abs/2509.12541
|
| 29 |
+
) for more details.
|
| 30 |
|
| 31 |
This model is released under a non-commercial license. If you'd like a commercial license, please contact us at contact@zeroentropy.dev.
|
| 32 |
|