Full Sentence Distillroberta3
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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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