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Snowflake Arctic Embed M V1.5

Developed by Snowflake
Snowflake Arctic Embed M v1.5 is an efficient sentence embedding model, focusing on sentence similarity calculation and feature extraction tasks.
Downloads 219.46k
Release Time : 7/3/2024

Model Overview

This model is designed to generate high-quality sentence embeddings, supporting various retrieval and similarity calculation tasks, and performs well on the MTEB benchmark.

Model Features

Efficient sentence embeddings
Capable of generating high-quality sentence embeddings suitable for various similarity calculation tasks
MTEB benchmark validation
Outstanding performance on multiple MTEB benchmark datasets
Supports Transformers.js
Can be run in browser environments using Transformers.js

Model Capabilities

Sentence similarity calculation
Feature extraction
Text retrieval
Semantic search

Use Cases

Information retrieval
Q&A systems
Used to retrieve the most relevant answers to user questions
Demonstrates good retrieval performance on the CQADupstack dataset
Document similarity search
Find semantically similar documents or paragraphs
Achieved a primary score of 59.53 on the ArguAna dataset
Content recommendation
Related content recommendation
Recommend related content based on semantic similarity
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