144 lines
5.2 KiB
ReStructuredText
144 lines
5.2 KiB
ReStructuredText
.. {#tutorials}
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Interactive Tutorials (Python)
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==============================
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.. _notebook tutorials:
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.. meta::
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:description: Run Python tutorials on Jupyter notebooks to learn how to use OpenVINO™ toolkit for optimized
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deep learning inference.
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.. toctree::
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:maxdepth: 2
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:caption: Notebooks
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:hidden:
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notebooks_installation
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notebooks_section_0_get_started
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notebooks_section_1_convert__optimize
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notebooks_section_2_model_demos
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notebooks_section_3_model_training
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notebooks_section_4_live_demos
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This collection of Python tutorials are written for running on Jupyter notebooks.
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The tutorials provide an introduction to the OpenVINO™ toolkit and explain how to
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use the Python API and tools for optimized deep learning inference. You can run the
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code one section at a time to see how to integrate your application with OpenVINO
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libraries.
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Notebooks with |binder logo| and |colab logo| buttons can be run without installing anything.
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Once you have found the tutorial of your interest, just click the button next to
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its name and the Jupyter notebook will start it in a new tab of a browser.
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.. note::
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`Binder <https://mybinder.org/>`__ and `Google Colab <https://colab.research.google.com/>`__
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are free online services with limited resources. For the best performance
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and more control, you should run the notebooks locally. Follow the
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:doc:`Installation Guide <notebooks_installation>` in order to get information
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on how to run and manage the notebooks on your machine.
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More examples along with additional details regarding OpenVINO Notebooks are available in
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OpenVINO™ Notebooks `Github Repository. <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>`__
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The Jupyter notebooks are categorized into following classes:
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- :doc:`First steps with OpenVINO <notebooks_section_0_get_started>`
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- :doc:`Convert & Optimize <notebooks_section_1_convert__optimize>`
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- :doc:`Model Demos <notebooks_section_2_model_demos>`
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- :doc:`Model Training <notebooks_section_3_model_training>`
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- :doc:`Live Demos <notebooks_section_4_live_demos>`
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Below you will find a selection of recommended tutorials that demonstrate inference on a particular model. These tutorials are guaranteed to provide a great experience with inference in OpenVINO:
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.. showcase::
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:title: 284-openvoice
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/284-openvoice/284-openvoice.png
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Voice tone cloning with OpenVoice and OpenVINO.
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.. showcase::
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:title: 283-photo-maker
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/283-photo-maker/283-photo-maker.gif
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Text-to-image generation using PhotoMaker and OpenVINO.
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.. showcase::
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:title: 281-kosmos2-multimodal-large-language-model
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/281-kosmos2-multimodal-large-language-model/281-kosmos2-multimodal-large-language-model.png
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Kosmos-2: Multimodal Large Language Model and OpenVINO.
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.. showcase::
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:title: 280-depth-anything
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/280-depth-anything/280-depth-anything.gif
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Depth estimation with DepthAnything and OpenVINO.
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.. showcase::
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:title: 279-mobilevlm-language-assistant
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:img: _static/images/notebook_eye.png
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Mobile language assistant with MobileVLM and OpenVINO.
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.. showcase::
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:title: 278-stable-diffusion-ip-adapter
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/278-stable-diffusion-ip-adapter/278-stable-diffusion-ip-adapter.png
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Image Generation with Stable Diffusion and IP-Adapter.
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.. showcase::
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:title: 275-llm-question-answering
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:img: _static/images/notebook_eye.png
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LLM Instruction-following pipeline with OpenVINO.
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.. showcase::
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:title: 274-efficient-sam
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/274-efficient-sam/274-efficient-sam.png
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Object segmentations with EfficientSAM and OpenVINO.
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.. showcase::
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:title: 273-stable-zephyr-3b-chatbot
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:img: _static/images/notebook_eye.png
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LLM-powered chatbot using Stable-Zephyr-3b and OpenVINO.
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.. showcase::
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:title: 272-paint-by-example
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:img: https://raw.githubusercontent.com/openvinotoolkit/openvino_notebooks/main/notebooks/272-paint-by-example/272-paint-by-example.png
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Paint by Example using Stable Diffusion and OpenVINO.
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.. note::
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If there are any issues while running the notebooks, refer to the **Troubleshooting** and **FAQ** sections in the :doc:`Installation Guide <notebooks_installation>` or start a GitHub
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`discussion <https://github.com/openvinotoolkit/openvino_notebooks/discussions>`__.
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Additional Resources
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######################
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* `OpenVINO™ Notebooks - Github Repository <https://github.com/openvinotoolkit/openvino_notebooks/blob/main/README.md>`_
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* `Binder documentation <https://mybinder.readthedocs.io/en/latest/>`_
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* `Google Colab <https://colab.research.google.com/>`__
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.. |binder logo| image:: https://mybinder.org/badge_logo.svg
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:alt: Binder button
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.. |colab logo| image:: https://colab.research.google.com/assets/colab-badge.svg
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:width: 109
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:alt: Google Colab button
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