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[DOCS] hidden page for ONNX supported models (#28711)
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.../articles_en/about-openvino/compatibility-and-support/supported-models-onnx.rst
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AI Models verified for OpenVINO™ - ONNX only | ||
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The following is a list of ONNX models that have been verified to work with OpenVINO. Note that | ||
other models may also work properly but have not been tested. | ||
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**AI Models that run on Intel® Core Ultra™ Processors with OpenVINO™ toolkit:** | ||
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.. csv-table:: | ||
:class: modeldata stripe | ||
:name: supportedModelsTable | ||
:header-rows: 1 | ||
:file: ../../_static/download/supported_models_onnx.csv | ||
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| Marked cells indicate models that passed inference with no errors. Empty cells indicate | ||
models that were not tested. No failing runs producing an error have been recorded. | ||
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| In the precision column, the "optimum-intel default" label corresponds to FP32 for small models | ||
and INT8 for models greater than 1B parameters. | ||
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| The results as of December 18 2024, for OpenVINO version 2024.6. | ||
| The models come from different public model repositories, such as Pytorch Model Zoo and | ||
HuggingFace; they were executed on the designated hardware with OpenVINO either natively or | ||
as a backend. | ||
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