[sbrother]

This looks awesome; I was a big fan of Keras back when it had pluggable backends and a much cleaner API than Tensorflow.

Fast forward to now, and my biggest pain point is that all the new models are released on PyTorch, but the PyTorch serving story is still far behind TF Serving. Can this help convert a PyTorch model into a servable SavedModel?

[kerasteam]

For a Keras Core model to be usable with the TF Serving ecosystem, it must be implemented either via Keras APIs (Keras layers and Keras ops) or via TF APIs.

To use pretrained models, you can take a look at KerasCV and KerasNLP, they have all the classics, like BERT, T5, OPT, Whisper, StableDiffusion, EfficientNet, YOLOv8, etc. They're adding new models regularly.