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Tatiana Savina 2023-11-09 15:03:01 +01:00 committed by GitHub
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docs/articles_en/documentation/openvino_ir.md
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:hidden:
openvino_docs_MO_DG_IR_and_opsets
openvino_docs_ops_opset
openvino_docs_operations_specifications
openvino_docs_ops_broadcast_rules
openvino_docs_MO_DG_prepare_model_convert_model_IR_suitable_for_INT8_inference
The models, built and trained using various frameworks, can be large and architecture-dependent. To successfully run inference from any device and maximize the benefits of OpenVINO tools, you can convert the model to the OpenVINO Intermediate Representation (IR) format.

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docs/articles_en/documentation/openvino_ir/operation_sets.md
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:description: Learn the essentials of representing deep learning models in OpenVINO
IR format and the use of supported operation sets.
.. toctree::
:maxdepth: 1
:hidden:
openvino_docs_ops_opset
openvino_docs_operations_specifications
openvino_docs_ops_broadcast_rules
This article provides essential information on the format used for representation of deep learning models in OpenVINO toolkit and supported operation sets.