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Examples gallery
================

These examples show how to use :func:`modelbuilder.builder.create_model` on
**tiny, randomly-initialised** models. They follow the same philosophy as the
fast test suite: everything runs offline, in seconds, with no weights downloaded
from the Hugging Face hub.


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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows the core workflow of mbext on a tiny, randomly initialised model. Nothing is downloaded from the Hugging Face hub: a small LlamaConfig is built with a single hidden layer and random weights, converted to ONNX with modelbuilder.builder.create_model, and the ONNX logits are compared to the PyTorch reference.">

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  :doc:`/auto_examples/plot_create_model_random_weights`

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      <div class="sphx-glr-thumbnail-title">Convert a random-weight model with create_model</div>
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   /auto_examples/plot_create_model_random_weights



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    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_