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kerasteam | 2 years ago
So far the export story focuses on SavedModel and the services that consume that format, e.g. TFLite, TFjs and TFServing. You can just do `model.export(path)`, and you also have access to the `ExportArchive` class for fine-grained configuration.
We have not tried CoreML export yet.
PyTorch `.compile()` works with Keras models. It may not necessarily result in a speedup however.
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