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I've just stumbled upon some excellent work on (🇫🇷 French) retrieval models by 
I've just stumbled upon some excellent work on (🇫🇷 French) retrieval models by 
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@antoinelouis
antoinelouis
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. Kudos to him! 
. Kudos to him! 
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- French Embedding Models: 
- French Embedding Models: 
link
https://huggingface.co/collections/antoinelouis/dense-single-vector-bi-encoders-651523c0c75a3d4c44fc864d
https://huggingface.co/collections/antoinelouis/dense-single-vector-bi-encoders-651523c0c75a3d4c44fc864d
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- French Reranker Models: 
- French Reranker Models: 
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https://huggingface.co/collections/antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
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antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
https://huggingface.co/collections/antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
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- French Multi-vector Models: 
- French Multi-vector Models: 
link
https://huggingface.co/collections/antoinelouis/dense-multi-vector-bi-encoders-6589a8ee6b17c06872e9f075
https://huggingface.co/collections/antoinelouis/dense-multi-vector-bi-encoders-6589a8ee6b17c06872e9f075
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- Multilingual Models: 
- Multilingual Models: 
link
https://huggingface.co/collections/antoinelouis/modular-retrievers-65d53d0db64b1d644aea620c
https://huggingface.co/collections/antoinelouis/modular-retrievers-65d53d0db64b1d644aea620c
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A lot of these models use the MS MARCO Hard Negatives dataset, which I'm currently reformatting to be more easily usable. Notably, they should work out of the box without any pre-processing for training embedding models in the upcoming Sentence Transformers v3.
A lot of these models use the MS MARCO Hard Negatives dataset, which I'm currently reformatting to be more easily usable. Notably, they should work out of the box without any pre-processing for training embedding models in the upcoming Sentence Transformers v3.
I've just stumbled upon some excellent work on (🇫🇷 French) retrieval models by @antoinelouis. Kudos to him! 

- French Embedding Models: https://huggingface.co/collections/antoinelouis/dense-single-vector-bi-encoders-651523c0c75a3d4c44fc864d
- French Reranker Models: https://huggingface.co/collections/antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
- French Multi-vector Models: https://huggingface.co/collections/antoinelouis/dense-multi-vector-bi-encoders-6589a8ee6b17c06872e9f075
- Multilingual Models: https://huggingface.co/collections/antoinelouis/modular-retrievers-65d53d0db64b1d644aea620c

A lot of these models use the MS MARCO Hard Negatives dataset, which I'm currently reformatting to be more easily usable. Notably, they should work out of the box without any pre-processing for training embedding models in the upcoming Sentence Transformers v3.
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