Feature Extraction
Transformers
Safetensors
qwen3
sentence-similarity
text-embeddings-inference
reranking
Instructions to use Alibaba-NLP/E2Rank-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/E2Rank-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Alibaba-NLP/E2Rank-8B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/E2Rank-8B") model = AutoModel.from_pretrained("Alibaba-NLP/E2Rank-8B") - Notebooks
- Google Colab
- Kaggle
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<h1>E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker</h1>
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<a href="https://Alibaba-NLP.github.io/E2Rank/">π€ Website</a> |
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<a href="https://huggingface.co/collections/Alibaba-NLP/e2rank">π€ Huggingface Collection</a> |
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<a href="#π©-citation">π© Citation</a>
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<h1>E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker</h1>
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<a href="https://Alibaba-NLP.github.io/E2Rank/">π€ Website</a> |
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<a href="https://arxiv.org/abs/2510.22733">π Arxiv Paper</a> |
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<a href="https://huggingface.co/collections/Alibaba-NLP/e2rank">π€ Huggingface Collection</a> |
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<a href="#π©-citation">π© Citation</a>
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