A port of OpenAI's CLIP ViT-B/32 model by Xenova, optimized for execution in JavaScript environments via ONNX Runtime or WebNN. It enables zero-shot image classification, image-text similarity, and multimodal embeddings directly in the browser or on the server with Node.js. The model is widely used for client-side computer vision tasks.
Clip Vit Base Patch32 sits in PulseGate's Other AI category. It focuses on running CLIP vision-language models in browser or Node.js environments without heavy Python dependencies. It is built as an open-source project for web developers. Clip Vit Base Patch32 is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Clip Vit Base Patch32 is Xenova, based in the United States, and the product first shipped in 2023. Key capabilities include Image-Text Embedding, ONNX Runtime, and Vision Transformer.
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