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title: 'Introducing TorchVision’s New Multi-Weight Support API'
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author: 'Vasilis Vryniotis
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featured-img: 'assets/images/torchvision_featured.png'
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TorchVision has a new backwards compatible API for building models with multi-weight support. The new API allows loading different pre-trained weights on the same model variant, keeps track of vital meta-data such as the classification labels and includes the preprocessing transforms necessary for using the models. In this blog post, we plan to review the prototype API, show-case its features and highlight key differences with the existing one.
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<img src="{{ site.baseurl }}/assets/images/torchvision_gif.gif" width="100%">
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We are hoping to get your thoughts about the API prior finalizing it. To collect your feedback, we have created a [Github issue](https://github.com/pytorch/vision/issues/5088) where you can post your thoughts, questions and comments.
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## Limitations of the current API

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