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Sentence Camembert Large

Developed by dangvantuan
A French sentence embedding model developed by La Javaness, fine-tuned based on the CamemBERT-large pre-trained model, focusing on French sentence semantic representation and similarity calculation.
Downloads 43.27k
Release Time : 3/2/2022

Model Overview

This model represents the content and semantics of French sentences as mathematical vectors, providing powerful semantic search capabilities, suitable for French sentence similarity calculation and semantic search tasks.

Model Features

French-specific model
A sentence embedding model specifically optimized for French, capable of better understanding French semantics.
Large model performance
Based on the CamemBERT-large architecture with 336M parameters, providing more accurate semantic representation.
Semantic search capability
Capable of understanding the deep semantics of text in queries and documents, going beyond simple keyword matching.

Model Capabilities

French sentence embedding
Semantic similarity calculation
Semantic search

Use Cases

Information retrieval
Document similarity matching
Calculate the semantic similarity between two French documents or sentences
Achieved a Pearson correlation coefficient of 85.9 on the French STSB test set
Recommendation system
Content recommendation
Content recommendation system based on semantic similarity
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