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Comparison of all-MiniLM-L6-v2, Intfloat: Multilingual-E5-Large
2 modelssentence-transformersall-MiniLM-L6-v2Remove ×intfloatIntfloat: Multilingual-E5-LargeRemove ×
What’s differentWe present a sentence transformation model that achieves state-of-the-art results on various NLP tasks without requiring task-specific architectures or fine-tuning. Our approach leverages contrastive…The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized…
DateMar 22, 2023ListedJun 4, 2024Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗$0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →1 endpoint →
Context window512512
Max output460460
Parameters——
Open weightsSupportedSupported

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