Ag Nli DeTS Sentence Similarity V1
This model is trained using the Cross-Encoder class from SentenceTransformers to predict the semantic similarity score between two sentences.
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Release Time : 10/6/2023
Model Overview
Trained on 6 different natural language inference (NLI) datasets, this model predicts the semantic similarity score between two sentences, ranging from 0 (dissimilar) to 1 (very similar).
Model Features
Multilingual Support
Supports sentence similarity calculation in multiple languages including English, Dutch, German, French, Italian, and Spanish.
High-Accuracy Prediction
Trained on multiple NLI datasets, it accurately predicts semantic similarity between sentences.
Easy to Use
Provides a simple API interface for quick integration into existing systems.
Model Capabilities
Sentence Similarity Calculation
Semantic Similarity Prediction
Multilingual Support
Use Cases
Text Analysis
Semantic Search
Used in search engines to improve the relevance of search results.
More accurately matches user queries with document content.
Question-Answering Systems
Used in QA systems to match the semantic similarity between questions and answers.
Improves the accuracy and user experience of QA systems.
Customer Service
Automated Responses
Used in customer service systems to automatically match user questions with predefined answers.
Reduces manual intervention and improves response speed.
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