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  ---
 
 
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  library_name: sentence-transformers
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  pipeline_tag: sentence-similarity
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  tags:
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- - sentence-transformers
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- - feature-extraction
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- - sentence-similarity
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- - transformers
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  datasets:
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- - stsb_multi_mt
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # h4c5/sts-camembert-base
@@ -123,6 +142,18 @@ SentenceTransformer(
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  )
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  ```
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- ## Citing & Authors
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- <!--- Describe where people can find more information -->
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language: fr
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+ license: mit
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  library_name: sentence-transformers
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  pipeline_tag: sentence-similarity
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  tags:
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+ - sentence-transformers
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+ - feature-extraction
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+ - sentence-similarity
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+ - transformers
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  datasets:
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+ - stsb_multi_mt
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+ metrics:
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+ - pearsonr
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+ base_model: almanach/camembert-base
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+ model-index:
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+ - name: sts-camembert-base
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+ results:
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+ - task:
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+ name: Sentence Similarity
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+ type: sentence-similarity
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+ dataset:
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+ name: STSb French
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+ type: stsb_multi_mt
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+ args: fr
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+ metrics:
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+ - name: Pearson correlation coefficient
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+ type: pearsonr
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+ value: 83.7
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  ---
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  # h4c5/sts-camembert-base
 
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  )
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  ```
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+ ## Citing
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+ @article{reimers2019sentence,
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+ title={Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},
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+ author={Nils Reimers, Iryna Gurevych},
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+ journal={https://arxiv.org/abs/1908.10084},
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+ year={2019}
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+ }
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+
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+ @inproceedings{martin2020camembert,
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+ title={CamemBERT: a Tasty French Language Model},
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+ author={Martin, Louis and Muller, Benjamin and Su{\'a}rez, Pedro Javier Ortiz and Dupont, Yoann and Romary, Laurent and de la Clergerie, {\'E}ric Villemonte and Seddah, Djam{\'e} and Sagot, Beno{\^\i}t},
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+ booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
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+ year={2020}
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+ }