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 project. It focuses on testing image classification pipelines and Optimum Intel compatibility with Vision Transformer models. Tiny Random Vit is an open-source project aimed at AI developers. The project is open source (Open Source). Tiny Random Vit is available on the web and API.
It is developed by Optimum Intel Internal Testing. Among its 5 catalogued features are image classification, transformers library, and pyTorch.
Summary written by a language model from the project’s public pages.
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