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ios-onnxruntime
w11wo/ios-onnxruntime
ios-onnxruntime is a machine learning model from w11wo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repo contains pre-built static onnxruntime libs for iOS using the following commit:
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Public
Updated Aug 4, 2023
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1.1 GB
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 17, 2023
- Updated
- Aug 4, 2023
- SHA
- a41d032b
Model card
From the Hugging Face model README
This repo contains pre-built static onnxruntime libs for iOS using the following commit:
commit e1ca8ee6d4a188f01efd4083d6f4273a3ef901aa (HEAD -> main, github/main)
Author: Randy Shuai <[email protected]>
Date: 2023-07-16 16:51:40 -0700
Please see https://github.com/k2-fsa/sherpa-onnx for its usage.
How to build xcframework
git clone https://github.com/microsoft/onnxruntime
cd onnxruntime
cp ../create-custom-ops-config.sh .
cp ../create-xcframework.sh .
cp ../run-ios-arm64.sh .
cp ../run-ios-simulator-arm64.sh .
cp ../run-ios-simulator-os64.sh .
./create-custom-ops-config.sh
./run-ios-arm64.sh
./run-ios-simulator-arm64.sh
./run-ios-simulator-os64.sh
./create-xcframework.sh
You should see the following content:
ios-onnxruntime fangjun$ tree onnxruntime.xcframework/
onnxruntime.xcframework/
├── Headers
│ ├── cpu_provider_factory.h
│ ├── onnxruntime_c_api.h
│ ├── onnxruntime_cxx_api.h
│ └── onnxruntime_cxx_inline.h
├── Info.plist
├── ios-arm64
│ └── onnxruntime.a
└── ios-arm64_x86_64-simulator
└── onnxruntime.a
3 directories, 7 files
- License
- apache-2.0
- Created
- Jul 17, 2023
- Updated
- Aug 4, 2023