I've just stumbled upon some excellent work on (🇫🇷 French) retrieval models by 
text
I've just stumbled upon some excellent work on (🇫🇷 French) retrieval models by 
@antoinelouis
mention
antoinelouis
. Kudos to him! 
text
. Kudos to him! 
new_line
new_line
- French Embedding Models: 
text
- French Embedding Models: 
https://huggingface.co/collections/antoinelouis/dense-single-vector-bi-encoders-651523c0c75a3d4c44fc864d
https://huggingface.co/collections/antoinelouis/dense-single-vector-bi-encoders-651523c0c75a3d4c44fc864d
link
new_line
- French Reranker Models: 
text
- French Reranker Models: 
https://huggingface.co/collections/antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
collection
resource
https://huggingface.co/collections/antoinelouis/cross-encoder-rerankers-651523f16efa656d1788a239
new_line
- French Multi-vector Models: 
text
- French Multi-vector Models: 
https://huggingface.co/collections/antoinelouis/dense-multi-vector-bi-encoders-6589a8ee6b17c06872e9f075
https://huggingface.co/collections/antoinelouis/dense-multi-vector-bi-encoders-6589a8ee6b17c06872e9f075
link
new_line
- Multilingual Models: 
text
- Multilingual Models: 
https://huggingface.co/collections/antoinelouis/modular-retrievers-65d53d0db64b1d644aea620c
https://huggingface.co/collections/antoinelouis/modular-retrievers-65d53d0db64b1d644aea620c
link
new_line
new_line
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.
text
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.
🔥
giux78 ayush7 jdagh Ndonda871 pedi ShahabVFX osanseviero
🤗
antoinelouis Ndonda871 pedi
😎
Ramayanti pedi
🤯
kelork