Multi-QA-mpnet-base-dot-v1 · deepinfra

We present a sentence transformation model that maps sentences and paragraphs to a 768-dimensional dense vector space, suitable for semantic search tasks. The model is trained on 215 million question-answer pairs from various sources, including WikiAnswers, PAQ, Stack Exchange, MS MARCO, GOOAQ, Amazon QA, Yahoo Answers, Search QA, ELI5, and Natural Questions. Our model uses a contrastive learning objective.

Modèle de baseTous les modèles de cette baseTous les modèles du fournisseurvers le fournisseur

Tous les modèles Sentence Transformers chez tous les fournisseurs

Entrée, $/1M $0.005

Sortie, $/1M —

Contexte 512

Accepte —

Dernière vérification 04.11.2026 12:00:14 UTC

Source —