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.

BasismodellAlle Modelle dieser BasisAlle Modelle des Anbieterszum Anbieter

Alle Sentence Transformers-Modelle bei allen Anbietern

Eingabe, $/1M $0.005

Ausgabe, $/1M —

Kontext 512

Akzeptiert —

Zuletzt geprüft 04.11.2026 12:00:14 UTC

Quelle —