tiny-random-vit is a tiny randomly-initialized Vision Transformer model published for testing purposes. It supports image classification and is compatible with the Hugging Face Transformers library across multiple backends including PyTorch, TensorFlow, and ONNX. The model is used by developers to validate Optimum Intel optimizations and inference pipelines without requiring large pretrained weights.
Tiny Random Vit is an Other AI product. It focuses on testing image classification pipelines and Optimum Intel compatibility with Vision Transformer models. It is built as an open-source project for AI developers. Tiny Random Vit is open source under the Open Source license. The product ships for the web and API.
Optimum Intel Internal Testing builds and maintains Tiny Random Vit, and the product first shipped in 2023. Key capabilities include image classification, transformers library, and pyTorch.
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