feat: Support for bge-reranker-v2-m3 #118
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Hi @rozgo. Thanks for contributing. |
Anush008
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Anush008
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P.S. Please add the model to the list in the README.md. |
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# [4.1.0](v4.0.0...v4.1.0) (2024-09-29) ### Features * Support for bge-reranker-v2-m3 ([#118](#118)) ([bcd6304](bcd6304)) ## [4.1.0](v4.0.0...v4.1.0) (2024-09-29) ### 🍕 Features * Support for bge-reranker-v2-m3 ([#118](#118)) ([bcd6304](bcd6304))
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🎉 This PR is included in version 4.1.0 🎉 The release is available on:
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This PR introduces support for the BGE Reranker V2 M3 model and enhances the flexibility of user-defined reranking models. Key changes include:
Added
BGERerankerV2M3to theRerankerModelenum, supporting the "bge-reranker-v2-m3" model.Introduced
OnnxSourceenum to allow loading ONNX models from either memory or file:OnnxSource::Memory(Vec<u8>)OnnxSource::File(PathBuf)Updated
UserDefinedRerankingModelto useOnnxSourceinstead ofVec<u8>for ONNX data.Modified
TextRerank::try_new_from_user_defined()to handle both memory and file-based ONNX sources.Added support for additional files in
RerankerModelInfoto accommodate models with multiple files (e.g., BGE Reranker V2 M3).Updated the reranking test to be more flexible with result ordering, as different models may produce slightly different rankings.
Added a new test
test_user_defined_reranking_large_model()to demonstrate loading and using the BGE Reranker V2 M3 model.