bge-large:335m-en-v1.5-fp16

107.9K 10 months ago

Embedding model from BAAI mapping texts to vectors.

embedding 335m

10 months ago

b3d71c928059 · 671MB

model
bert
·
334M
·
F16
license
MIT License Copyright (c) [year] [fullname] Permission is hereby granted, free of charge, to any p

Readme

FlagEmbedding can map any text to a low-dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. And it also can be used in vector databases for LLMs.

@misc{bge_embedding,
      title={C-Pack: Packaged Resources To Advance General Chinese Embedding}, 
      author={Shitao Xiao and Zheng Liu and Peitian Zhang and Niklas Muennighoff},
      year={2023},
      eprint={2309.07597},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}