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Sentence BERTino

Developed by efederici
Italian sentence embedding model based on sentence-transformers, mapping text to a 768-dimensional vector space
Downloads 51
Release Time : 3/27/2022

Model Overview

This model can convert Italian sentences and paragraphs into 768-dimensional dense vectors, suitable for natural language processing tasks such as clustering and semantic search. Trained on the squad-it Q&A dataset and news article data.

Model Features

Efficient sentence embedding
Converts Italian sentences into 768-dimensional dense vectors while preserving semantic information
Pre-trained model
Trained on the squad-it Q&A dataset and news article data
Lightweight architecture
Uses DistilBert model to reduce computational resource requirements while maintaining performance

Model Capabilities

Sentence vectorization
Semantic similarity calculation
Text clustering
Semantic search

Use Cases

Information retrieval
Similar question search
Finding semantically similar questions to user queries in Q&A systems
Text analysis
Document clustering
Automatically grouping Italian documents with similar content
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