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
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print(scores)
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```
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The model can also be inferenced using ZeroEntropy's [/models/rerank](https://docs.zeroentropy.dev/api-reference/models/rerank) endpoint.
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print(scores)
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```
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The model can also be inferenced using ZeroEntropy's [/models/rerank](https://docs.zeroentropy.dev/api-reference/models/rerank) endpoint, and on [AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-o7avk66msiukc).
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## Evaluations
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NDCG@10 scores between `zerank-2` and competing closed-source proprietary rerankers. Since we are evaluating rerankers, OpenAI's `text-embedding-3-small` is used as an initial retriever for the Top 100 candidate documents.
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| Domain | OpenAI embeddings | ZeroEntropy zerank-2 | ZeroEntropy zerank-1 | Gemini 2.5 Flash (Listwise) | Cohere rerank-3.5 |
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|------------------|-------------------|----------------------|----------------------|-----------------------------|-------------------|
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| Web | 0.3819 | **0.6346** | 0.6069 | 0.5765 | 0.5594 |
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| Conversational | 0.4305 | **0.6140** | 0.5801 | 0.6021 | 0.5648 |
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| STEM & Logic | 0.3744 | **0.6521** | 0.6283 | 0.5447 | 0.5418 |
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| Code | 0.4582 | **0.6528** | 0.6310 | 0.6128 | 0.5364 |
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| Legal | 0.4101 | **0.6644** | 0.6222 | 0.5565 | 0.5257 |
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| Biomedical | 0.4783 | **0.7217** | 0.6967 | 0.5371 | 0.6246 |
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| Finance | 0.6232 | 0.7600 | 0.7539 | **0.7694** | 0.7402 |
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| **Average** | **0.4509** | **0.6714** | **0.6456** | **0.5999** | **0.5847** |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65ec60ccfc59f6e77ecc9ccb/UiDp8LsY4XIdRK5i3CAdD.png" alt="Graph showing the same table" width="1000"/>
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