Sentence-CamemBERT-Large is the Embedding Model for French developed by La Javaness. The purpose of this embedding model is to represent the content and semantics of a French sentence in a mathematical vector which allows it to understand the meaning of the text-beyond individual words in queries and documents, offering a powerful semantic search.

Foundation

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

The model is Fine-tuned using pre-trained facebook/camembert-large and Siamese BERT-Networks with ‘sentences-transformers’ on dataset stsb

Usage

This model is an embedding model, meaning it can only be used to generate embeddings.

References

HuggingFace

Camembert Model Website

Logo credit: Alix Chagué