clip-ViT-B-32-multilingual-v1 · deepinfra

This model is a multilingual version of the OpenAI CLIP-ViT-B32 model, which maps text and images to a common dense vector space. It includes a text embedding model that works for 50+ languages and an image encoder from CLIP. The model was trained using Multilingual Knowledge Distillation, where a multilingual DistilBERT model was trained as a student model to align the vector space of the original CLIP image encoder across many languages.

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 —