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Cross En It Roberta Sentence Transformer

Developed by T-Systems-onsite
A sentence embedding model supporting English and Italian, used for generating vector representations of sentences.
Downloads 16
Release Time : 3/2/2022

Model Overview

This model is primarily used to generate sentence embeddings for English and Italian, suitable for various natural language processing tasks.

Model Features

Multilingual support
Supports sentence embedding generation for both English and Italian languages.
Open-source license
Uses the MIT License, allowing free use and modification.

Model Capabilities

Sentence vectorization
Multilingual text processing

Use Cases

Natural language processing
Semantic similarity calculation
Computes semantic similarity between sentences by comparing their embedding vectors.
Text classification
Uses sentence embeddings as features for text classification tasks.
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