bge-m3-onnx-o4
This is `bge-m3-onnx-o4` weights of the original `BAAI/bge-m3`. Why is this model cool? - [x] Multi-Functionality: It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval. - [x] Multi-Linguality: It can support more than **100** working languages. - [x] Multi-Granularity: It is able to process inputs of different granularities, spanning from short sentences to long documents of up to **8192** tokens. 1. **Download** the checkpoint: For some reason you cannot directly load from this online version (you will get an exception). Please download this repo as below:
This is `bge-m3-onnx-o4` weights of the original `BAAI/bge-m3`. Why is this model cool? - [x] Multi-Functionality: It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval. - [x] Multi-Linguality: It can support more than **100** working languages. - [x] Multi-Granularity: It is able to process inputs of different granularities, spanning from short sentences to long documents of up to **8192** tokens. 1. **Download** the checkpoint: For some reason you cannot directly load from this online version (you will get an exception). Please download this repo as below:
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