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Armenian Text Embeddings 1

Developed by Metric-AI
Armenian text embedding model optimized based on multilingual-e5-base, supporting semantic search and cross-lingual understanding
Downloads 578
Release Time : 11/12/2024

Model Overview

This model specializes in generating high-quality dense vector representations for Armenian text, suitable for tasks like retrieval-augmented generation (RAG), semantic search, and document similarity calculation

Model Features

Armenian language optimization
Specifically optimized for Armenian, providing more accurate semantic representations
Cross-lingual capability
Based on multilingual-e5-base, retaining cross-lingual understanding capabilities between English and Armenian
Efficient training
Utilizes DeepSpeed Stage 2 optimization and mixed-precision training to improve training efficiency
Weight averaging
Combines the strengths of base model (0.6) and fine-tuned model (0.4) to enhance performance

Model Capabilities

Armenian semantic search
Document similarity calculation
Cross-lingual text understanding
Text classification
Information retrieval

Use Cases

Information retrieval
Armenian recipe search
Match user queries with the most relevant traditional Armenian recipes
Can accurately match queries with relevant recipe content
Health consultation
Nutrition information retrieval
Answer health-related questions such as protein intake
Can accurately match scientific advice with user queries
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