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Cai Lunaris Text Embeddings
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Cai Lunaris Text Embeddings

Developed by consciousAI
A sentence-transformers-based text embedding model focused on sentence similarity calculation and feature extraction tasks.
Text Embedding
Transformers
Open Source License:Apache-2.0#Text Similarity Calculation#Multi-domain Retrieval Optimization#High-precision Semantic Matching
Downloads 59
Release Time : 6/22/2023

Model Overview

This model is primarily used for generating text embedding vectors, supporting sentence similarity calculation and feature extraction tasks, suitable for information retrieval and related application scenarios.

Model Features

Sentence Similarity Calculation
Accurately calculates semantic similarity between different sentences
Feature Extraction
Converts text into high-dimensional feature vectors for downstream tasks
Multi-task Support
Supports various tasks including retrieval, re-ranking, and semantic textual similarity

Model Capabilities

Sentence similarity calculation
Text feature extraction
Information retrieval
Question answering system support
Text re-ranking

Use Cases

Information Retrieval
Question Answering System
Used for retrieving related questions in QA systems
Performs well on the CQADupstack dataset
Technical Support Forums
Used for finding similar questions in technical forums
Achieves map of 53.44 on AskUbuntuDupQuestions dataset
Semantic Analysis
Biomedical Text Analysis
Used for semantic similarity calculation in biomedical texts
Achieves cos_sim_pearson of 75.97 on BIOSSES dataset
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