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CamemBERT is a large-scale transformer-based model for natural language understanding tasks in French. It is trained on a large corpus of French text and can be fine-tuned for various downstream tasks such as sentence similarity and text classification.


	
		
	
	
		Pre-trained sentence embedding models are the state-of-the-art of Sentence Embeddings for French.
	


Model is Fine-tuned using pre-trained facebook/camembert-base and
Siamese BERT-Networks with 'sentences-transformers' on dataset stsb


	
		
	
	
		Usage
	


The model can be used directly (without a language model) as follows:


	
		
	
	
		Evaluation
	


The model can be evaluated as follows on the French test data of stsb.

Test Result: 
The performance is measured using Pearson and Spearman correlation:


On dev



On test



	
		
	
	
		Citation
	




Dangvantuan

Models by this creator

sentence-camembert-large

sentence-camembert-base

CrossEncoder-camembert-large

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