sentence-transformers/clip-ViT-B-32-multilingual-v1 cover image

sentence-transformers/clip-ViT-B-32-multilingual-v1

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.

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.

Public
$0.0005/sec

HTTP/cURL API

 

Input fields

inputsarray

sequences to embed

Default value:


normalizeboolean

whether to normalize the computed embeddings

Default value: false


imagestring

image to embed


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema


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