This is a pre-trained Vision Transformer (ViT) model from the timm library, fine-tuned with CLIP on the LAION-400M dataset. It supports zero-shot image classification and can be used via the Hugging Face Hub or OpenCLIP library. The model weights are openly available for download and integration into computer vision pipelines.
Vit Base Patch16 Plus Clip 240.laion400m E31 sits in PulseGate's Other AI category. It focuses on finding and using pre-trained vision transformer models for image classification tasks. It is built as an open-source project for machine learning engineers. Vit Base Patch16 Plus Clip 240.laion400m E31 is open source under the Open Source license. It ships for the web and API.
It is developed by Hugging Face, and it first shipped in 2024. Key capabilities include zero-shot classification, pre-trained weights, and safetensors format. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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