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Minilm L6 H384 Italian Cross Encoder
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Minilm L6 H384 Italian Cross Encoder
Developed by osiria
Italian text ranking model based on MiniLMv2 architecture, with optimized embedding layers for Italian
Downloads 328
Release Time : 10/11/2023
Model Overview
This is a cross-encoder model specifically designed for Italian, developed based on the MiniLMv2 architecture, primarily used for text ranking tasks. The model optimizes Italian embedding layers through specialized methods, making it suitable for Italian text processing.
Model Features
Italian optimization
Optimized specifically for Italian by modifying embedding layers and calculating document-level term frequencies on Wikipedia datasets
Efficient architecture
Based on MiniLMv2 architecture, the model is compact (about 90MB) yet delivers excellent performance
Cross-encoder
Adopts cross-encoder approach, ideal for text ranking tasks
Model Capabilities
Italian text processing
Text similarity calculation
Text ranking
Use Cases
Information retrieval
Search engine result ranking
Ranking the relevance of search results in Italian
Question answering systems
Answer ranking
Ranking candidate answers by relevance in Italian QA systems
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