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[DOCS] hidden page for ONNX supported models (#28694)
port: #28693
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AI Models verified for OpenVINO™ - ONNX only
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====================================================
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The following is a list of ONNX models that have been verified to work with OpenVINO. Note that
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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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.. data-table::
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:class: modeldata stripe
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:name: supportedModelsTable
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:header-rows: 1
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:file: ../../_static/download/supported_models_onnx.csv
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:data-column-hidden: []
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:data-order: [[ 0, "asc" ]]
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:data-page-length: 10
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| Marked cells indicate models that passed inference with no errors. Empty cells indicate
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models that were not tested. No failing runs producing an error have been recorded.
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|
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| In the precision column, the "optimum-intel default" label corresponds to FP32 for small models
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and INT8 for models greater than 1B parameters.
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|
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| The results as of December 18 2024, for OpenVINO version 2024.6.
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| The models come from different public model repositories, such as Pytorch Model Zoo and
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HuggingFace; they were executed on the designated hardware with OpenVINO either natively or
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as a backend.
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docs/sphinx_setup/_static/download/supported_models.csv

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@@ -92,10 +92,8 @@ codegen-2B-multi,Large Language Model,pytorch,intel-optimum default,,+,
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codegen-350M-mono,Large Language Model,pytorch,intel-optimum default,,+,
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codegen-6B-multi,Large Language Model,pytorch,intel-optimum default,,+,
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CodeQwen1.5-7B-Chat,Large Language Model,pytorch,intel-optimum default,,+,
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colorization-siggraph,Colorization,onnx,FP16,+,,
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colorization-siggraph,Colorization,onnx,FP16,,+,+
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colorization-siggraph,Colorization,onnx,FP32,+,,
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colorization-siggraph,Colorization,onnx,FP32,,,+
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colorization-siggraph,Colorization,onnx,FP16,+,+,+
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colorization-siggraph,Colorization,onnx,FP32,,+,+
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colorization-v2,Colorization,onnx,FP16-INT8,,,+
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common-sign-language-0001,Image Classification,onnx,FP16,+,+,+
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common-sign-language-0001,Image Classification,onnx,FP32,+,+,+

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