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Full Sentence Distillroberta3

Developed by osanseviero
Sentence similarity calculation model based on Sentence-Transformers, using RoBERTa architecture and mean pooling
Downloads 18
Release Time : 3/2/2022

Model Overview

This model is specifically designed for calculating semantic similarity between sentences, suitable for natural language processing tasks such as text matching and information retrieval

Model Features

Efficient Sentence Embedding
Generates high-quality sentence vector representations through RoBERTa architecture
Flexible Pooling Methods
Supports multiple sentence vector generation methods including mean pooling
Plug-and-Play
Compatible with both HuggingFace Transformers and Sentence-Transformers usage modes

Model Capabilities

Sentence Vector Generation
Semantic Similarity Calculation
Text Matching

Use Cases

Information Retrieval
Similar Document Search
Implements relevant document recommendations by calculating document vector similarity
Q&A Systems
Question Matching
Identifies semantic similarity between user questions and knowledge base questions
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