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Update README.md (#491)
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README.md

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This tool converts [ONNX](https://onnx.ai/) models to Apple Core ML format. To convert Core ML models to ONNX, use [ONNXMLTools](https://github.com/onnx/onnxmltools).
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There's a comprehensive [Tutorial](https://github.com/onnx/tutorials/tree/master/examples/CoreML/ONNXLive/README.md) showing how to convert PyTorch style transfer models through ONNX to Core ML models and run them in an iOS app.
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There's a comprehensive [Tutorial](https://github.com/onnx/tutorials/tree/master/examples/CoreML/ONNXLive/README.md) showing how to convert PyTorch style transfer models through ONNX to Core ML models and run them in an iOS app. You can find example for PyTorch model conversion [here](https://github.com/onnx/onnx-coreml/tree/master/examples).
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## [New] Beta onnx-coreml converter with Core ML 3
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## [New] release onnx-coreml converter with Core ML 3
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To try out the new beta converter with Core ML 3 (>= iOS 13, >= macOS 15),
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install coremltools 3.0b6 and coremltools 1.0b3
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To try out the new onnx-coreml 1.0 converter with Core ML 3 (>= iOS 13, >= macOS 15),
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install coremltools 3.0 and coremltools 1.0
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```shell
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pip install coremltools==3.0b6
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pip install onnx-coreml==1.0b3
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pip install coremltools==3.0
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pip install onnx-coreml==1.0
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```
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In beta 3, the flag `disable_coreml_rank5_mapping` (which was part of beta 2) has been removed and instead replaced by
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Since 1.0 beta 3, the flag `disable_coreml_rank5_mapping` (which was part of beta 2) has been removed and instead replaced by
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the generic argument `target_ios` which can be used to target different versions of Core ML/iOS.
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The argument `target_ios` takes a string specifying the target deployment iOS version e.g. '11.2', '12' and '13'.
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By default, the converter uses the value of '12'.
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- VGG
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- ZFNet
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### Examples
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You can find examples for converting a model through ONNX -> CoreML [here](https://github.com/onnx/onnx-coreml/tree/master/examples)
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### Operators
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List of [ONNX operators supported in Core ML 2.0 via the converter](https://github.com/onnx/onnx-coreml/blob/4d8b1cc348e2d6a983a6d38bb6921b6b77b47e76/onnx_coreml/_operators.py#L1893)

setup.py

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import sys
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VERSION = '1.0b3'
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VERSION = '1.0'
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here = path.abspath(path.dirname(__file__))
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author_email='onnx-coreml@apple.com',
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license='MIT',
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classifiers=[
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'Development Status :: 4 - Beta',
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'Development Status :: 5 - Production/Stable',
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'License :: OSI Approved :: MIT License',
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'Intended Audience :: Developers',
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'Intended Audience :: End Users/Desktop',
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'onnx==1.5.0',
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'typing>=3.6.4',
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'typing-extensions>=3.6.2.1',
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'coremltools==3.0b6',
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'coremltools==3.0',
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],
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setup_requires=['pytest-runner'],
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tests_require=[

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