How to contribute pretrained models?

[veb-101]

Hello, I've successfully converted MobileViT v1 (variants - XXS, XS, S) models from Pytorch to Keras 3, including their pre-trained image classification weights. Can such models be added to KerasCV? If so, can you point me to the correct contributing guide?

As part of my commitment to this project, I've already created a separate repo to push other versions of MobileViT and other models.

Please try it out over here before you make any decision: https://colab.research.google.com/github/veb-101/keras-vision/blob/main/examples/mobile_vit_v1.ipynb

Repo: keras-vision

Currently, the weights are hosted in my repository releases.

[sachinprasadhs]

Thank you for your interest in contribution, we don't have any documentations as of now, but you can refer our existing implementations here to create a PR https://github.com/keras-team/keras-cv/tree/master/keras_cv/src/models/backbones

[veb-101]

Thanks, I'll work on porting MobileViT v2 models first and then create a PR for both versions.
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[github-actions]

This issue is stale because it has been open for 180 days with no activity. It will be closed if no further activity occurs. Thank you.

[sachinprasadhs]

Thanks for reporting the issue! We have consolidated the development of KerasCV into the new KerasHub package, which supports image, text, and multi-modal models. Please read the announcement. KerasHub will support all the core functionality of KerasCV.

KerasHub can be installed with !pip install -U keras-hub. Documentation and guides are available at keras.io/keras_hub.

With our focus shifted to KerasHub, we are not planning any further development or releases in KerasCV. If you encounter a KerasCV feature that is missing from KerasHub, or would like to propose an addition to the library, please file an issue with KerasHub.