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Bingus\n\n## Recommended Models\n\n- \u003chttps://tfhub.dev/google/universal-sentence-encoder-large/5\u003e\n- \u003chttps://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3\u003e\n\n## Compiling ONNX Runtime Extensions\n\n- Link: \u003chttps://github.com/microsoft/onnxruntime-extensions\u003e\n- Reference: \u003chttps://github.com/microsoft/onnxruntime-extensions/blob/main/docs/development.md\u003e\n\nTo compile ONNX Runtime Extensions, run the following commands:\n\n```bash\ngit clone --recurse-submodules https://github.com/microsoft/onnxruntime-extensions.git\ncd onnxruntime-extensions\n```\n\n### For Windows\n\n```cmd\nrem Run the provided build script for Windows\nbuild.bat\n```\n\n### For Linux\n\n```bash\n# Run the provided build script for Linux\nbash ./build.sh\n```\n\nThe output file will be quite large (100+ MB), so to reduce the size, you can strip all debug information with this command:\n\n```bash\nstrip --strip-all libortextensions.so\n```\n\n## Converting TensorFlow model to ONNX model\n\n- Link: \u003chttps://github.com/onnx/tensorflow-onnx\u003e\n\nTo convert the TensorFlow model to an ONNX model, you will need to have the ONNX Runtime Extensions, then run the following commands:\n\n```bash\n# Install required packages\npip install -U onnx tensorflow tensorflow_text tf2onnx\n\n# Convert the model\npython -m tf2onnx.convert --saved-model ./models/tensorflow/use_l_v5/ --output ./models/onnx/use_l_v5.onnx --load_op_libraries libortextensions.so --opset 17 --extra_opset ai.onnx.contrib:1\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fslimevr%2Fbingus-search","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fslimevr%2Fbingus-search","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fslimevr%2Fbingus-search/lists"}