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Simcse Dist Mpnet Paracrawl Cs En

Developed by Seznam
A Czech-English semantic embedding model fine-tuned with SimCSE objective, based on Seznam/dist-mpnet-paracrawl-cs-en
Downloads 2,997
Release Time : 11/2/2023

Model Overview

This model focuses on generating high-quality Czech and English semantic embeddings, suitable for NLP tasks such as similarity search, retrieval, clustering, and classification.

Model Features

Bilingual Support
Supports semantic embedding generation for both Czech and English
High-Quality Embeddings
Generates high-quality semantic embedding vectors through SimCSE fine-tuning
Multi-Task Applicability
Suitable for various NLP tasks including similarity search, retrieval, clustering, and classification

Model Capabilities

Semantic Similarity Calculation
Text Embedding Generation
Cross-Lingual Semantic Matching

Use Cases

Information Retrieval
Document Similarity Search
Find semantically similar documents in a document repository
Improves retrieval accuracy and recall rate
Text Classification
Semantic-Based Text Classification
Perform text classification using generated embedding vectors
Improves classification accuracy
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