This model is a Vision Transformer (ViT) trained with the CLIP objective on the LAION-400M dataset using the OpenCLIP library. It is hosted in the timm model hub and supports zero-shot image classification as well as image and text embedding generation for downstream computer vision tasks.
Vit Base Patch32 Clip 224.laion400m E31 is an Other AI project. It focuses on performing zero-shot image classification and generating image embeddings without task-specific training data. Vit Base Patch32 Clip 224.laion400m E31 is an open-source project aimed at developers. The project is open source (Open Source). It ships for the web and API, and it can be self-hosted.
It is developed by timm. Key capabilities include Zero-Shot Classification, CLIP Embeddings, and Image-Text Alignment. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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