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Snowflake Arctic Embed L
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Snowflake Arctic Embed L

Developed by Snowflake
Snowflake Arctic Embed L is a model focused on sentence similarity and feature extraction, suitable for various natural language processing tasks.
Text Embedding
Transformers
Open Source License:Apache-2.0#Sentence Embedding#Multi-task Evaluation#High-dimensional Feature Extraction
Downloads 50.58k
Release Time : 4/12/2024

Model Overview

This model is primarily used for sentence transformation, feature extraction, and sentence similarity calculation, supporting multiple evaluation tasks such as classification, clustering, retrieval, and semantic textual similarity.

Model Features

Multi-task Support
Supports various natural language processing tasks, including classification, clustering, retrieval, and semantic textual similarity.
High Performance
Delivers excellent performance on multiple evaluation datasets such as AmazonCounterfactualClassification and BIOSSES.
Easy Integration
Supports Transformers.js, making it easy to integrate for both frontend and backend use.

Model Capabilities

Sentence similarity calculation
Feature extraction
Text classification
Text clustering
Information retrieval
Semantic textual similarity analysis

Use Cases

E-commerce
Product Review Classification
Used for sentiment analysis and classification of Amazon product reviews.
Achieved an accuracy of 78.40% in the AmazonPolarityClassification task.
Academic Research
Paper Clustering
Used for topic clustering of arXiv and bioRxiv papers.
Achieved a V-measure of 47.46% in the ArxivClusteringP2P task.
Q&A Systems
Q&A Retrieval
Used for retrieving related questions on platforms like CQADupstack.
Achieved a MAP@10 of 49.43 in the CQADupstackAndroidRetrieval task.
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