Alibaba-NLP

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E2Rank-8B-Embedding-Only

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Alibaba-NLP 1.49k

This PR adds a comprehensive model card for the E2Rank model, including:

• Metadata: Incorporates license: apache-2.0, library_name: transformers, and pipeline_tag: feature-extraction for better discoverability and automated integration.
• Links: Provides direct links to the official paper (E2Rank: Your Text Embedding can Also be an Effective and Efficient Listwise Reranker), the project page (https://alibaba-nlp.github.io/E2Rank/), and the GitHub repository (https://github.com/Alibaba-NLP/E2Rank).
• Model Description: Includes an introduction and the full abstract from the paper.
• Usage Example: Adds a Python code snippet demonstrating how to use the model for feature extraction (embedding generation) with the transformers library, as found in the original GitHub README.
• Citation: Includes the BibTeX citation for the paper.

Please review and merge this PR.