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# OpenVINO™ model conversion API tutorial | |
[](https://mybinder.org/v2/gh/eaidova/openvino_notebooks_binder.git/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fopenvinotoolkit%252Fopenvino_notebooks%26urlpath%3Dtree%252Fopenvino_notebooks%252Fnotebooks%2Fconvert-to-openvino%2Fconvert-to-openvino.ipynb) | |
[](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/convert-to-openvino/convert-to-openvino.ipynb) | |
This notebook shows how to convert a model from its original framework format to the OpenVINO IR. It describes the Python conversion API and the OpenVINO Model Converter command-line tool. It provides examples of converting Hugging Face and PyTorch models to OpenVINO IR. | |
## Notebook Contents | |
The OpenVINO IR conversion tutorial consists of the following content: | |
* OpenVINO IR format | |
* Fetching example models | |
* Conversion | |
* Setting Input Shapes | |
* Compressing a Model to FP16 | |
* Converting Models from Memory | |
* Migration from Legacy Conversion API | |
* Specifying Layout | |
* Changing Model Layout | |
* Specifying Mean and Scale Values | |
* Reversing Input Channels | |
* Cutting Off Parts of a Model | |
## Installation Instructions | |
This is a self-contained example that relies solely on its own code. | |
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start. | |
For details, please refer to [Installation Guide](../../README.md). |