TencentBAC/Conan-embedding-v1

sentence-transformerszhsentence-transformerspytorchsafetensorsbertmtebzhcc-by-nc-4.0
318.0K

Conan-embedding-v1

Performance

ModelAverageCLSClusteringRerankingRetrievalSTSPair_CLS
gte-Qwen2-7B-instruct72.0575.0966.0668.9276.0365.3387.48
xiaobu-embedding-v272.4374.6765.1772.5876.564.5391.87
Conan-embedding-v172.6275.0366.3372.7676.6764.1891.66

Methods and Training Detials

Please refer to our technical report.

Citation

If you find our models / papers useful in your research, please consider giving ❤️ and citations. Thanks!

@misc{li2024conanembeddinggeneraltextembedding,
  title={Conan-embedding: General Text Embedding with More and Better Negative Samples}, 
  author={Shiyu Li and Yang Tang and Shizhe Chen and Xi Chen},
  year={2024},
  eprint={2408.15710},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2408.15710}, 
}

About

Created by the Tencent BAC Group. All rights reserved.

License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

DEPLOY IN 60 SECONDS

Run Conan-embedding-v1 on Runcrate

Deploy on H100, A100, or RTX GPUs. Pay only for what you use. No setup required.