Snowflake Arctic Embed M V2.0 Cpu
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Snowflake Arctic Embed M V2.0 Cpu
Developed by cnmoro
Snowflake Arctic Embed M v2.0 is a multilingual sentence embedding model focused on sentence similarity tasks, supporting over 50 languages.
Downloads 502
Release Time : 1/22/2025
Model Overview
This model is a sentence transformer for feature extraction and sentence similarity calculation, performing well on the MTEB benchmark.
Model Features
Multilingual support
Supports sentence embedding calculation for over 50 languages
High performance
Excellent performance on the MTEB benchmark
Sentence similarity
Specifically optimized for calculating similarity between sentences
Model Capabilities
Sentence embedding
Feature extraction
Sentence similarity calculation
Multilingual processing
Use Cases
Text retrieval
Semantic search
Document retrieval based on semantics rather than keywords
Classification tasks
Sentiment analysis
Sentiment classification based on sentence embeddings
Achieved 33.766% accuracy on Amazon review classification task
Question answering systems
Question-answer matching
Calculating similarity between questions and candidate answers
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