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README.md
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## Description:
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This [**Sentence-CamemBERT-Large**] Model is an Embedding Model for French developed by [La Javaness](https://www.lajavaness.com/). The purpose of this embedding model is to represent the content and semantics of a French sentence as a mathematical vector, allowing it to understand the meaning of the text beyond individual words in queries and documents. It offers powerful semantic search capabilities.
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## Pre-trained sentence embedding models are state-of-the-art of Sentence Embeddings for French.
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The [Lajavaness/sentence-camembert-large](https://huggingface.co/Lajavaness/sentence-camembert-large) model is an improvement over the [dangvantuan/sentence-camembert-base](https://huggingface.co/dangvantuan/sentence-camembert-large) offering greater robustness and better performance on all STS benchmark datasets. It has been fine-tuned using the pre-trained [facebook/camembert-large](https://huggingface.co/camembert/camembert-large) and
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## Description:
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This [**Sentence-CamemBERT-Large**](https://huggingface.co/Lajavaness/sentence-camembert-large) Model is an Embedding Model for French developed by [La Javaness](https://www.lajavaness.com/). The purpose of this embedding model is to represent the content and semantics of a French sentence as a mathematical vector, allowing it to understand the meaning of the text beyond individual words in queries and documents. It offers powerful semantic search capabilities.
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## Pre-trained sentence embedding models are state-of-the-art of Sentence Embeddings for French.
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The [Lajavaness/sentence-camembert-large](https://huggingface.co/Lajavaness/sentence-camembert-large) model is an improvement over the [dangvantuan/sentence-camembert-base](https://huggingface.co/dangvantuan/sentence-camembert-large) offering greater robustness and better performance on all STS benchmark datasets. It has been fine-tuned using the pre-trained [facebook/camembert-large](https://huggingface.co/camembert/camembert-large) and
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