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Alibaba-NLP
/
E2Rank-4B

Feature Extraction
Transformers
Safetensors
qwen3
sentence-similarity
text-embeddings-inference
reranking
Model card Files Files and versions
xet
Community

Instructions to use Alibaba-NLP/E2Rank-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Alibaba-NLP/E2Rank-4B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Alibaba-NLP/E2Rank-4B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Alibaba-NLP/E2Rank-4B")
    model = AutoModel.from_pretrained("Alibaba-NLP/E2Rank-4B")
  • Notebooks
  • Google Colab
  • Kaggle
E2Rank-4B
8.06 GB
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  • 1 contributor
History: 4 commits
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liuqi6777
Update README.md
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  • chat_template.jinja
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  • config.json
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  • model-00001-of-00002.safetensors
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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