F

French Semantic

Developed by Sahajtomar
A semantic transformation model for calculating sentence similarity in French, with excellent performance on the STS dataset.
Downloads 44
Release Time : 3/2/2022

Model Overview

This model is based on the Sentence-Transformers framework, specifically designed for calculating semantic similarity between French texts. By encoding sentences into high-dimensional vectors, it can compare semantic relevance between different sentences.

Model Features

High-precision French Semantic Understanding
Achieves 85.8% accuracy on the French STS test set
Sentence Vector Encoding
Converts French sentences into high-dimensional semantic vector representations
Cosine Similarity Calculation
Supports comparing semantic relationships between sentences via cosine similarity

Model Capabilities

French Sentence Encoding
Semantic Similarity Calculation
Text Matching
Semantic Search

Use Cases

Information Retrieval
French Document Similarity Search
Find semantically similar documents in a French document library
Q&A Systems
French FAQ Matching
Semantically match user questions with pre-stored FAQs
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