Qualcomm® AI Hub
================
`Qualcomm® AI Hub <https://aihub.qualcomm.com>`_ simplifies deploying AI models
for vision, audio, and speech applications to edge devices.
helps to optimize, validate,
and deploy machine learning models on-device for vision, audio, and speech use
cases.
With Qualcomm® AI Model Hub, you can:
- Convert trained models from frameworks like PyTorch for optimized on-device performance on Qualcomm® devices.
- Profile models on-device to obtain detailed metrics including runtime, load time, and compute unit utilization.
- Verify numerical correctness by performing on-device inference.
- Easily deploy models using Qualcomm® AI Engine Direct or TensorFlow Lite.
:code:`qai_hub` is a python package that provides an API for users to upload a
model, submit the profile jobs for hardware and get key metrics to optimize the
machine learning model further.
Installation with PyPI
----------------------
The easiest way to install :code:`qai_hub` is by using pip, running
:code:`pip install qai-hub`
For more information, check out the `documentation <https://app.aihub.qualcomm.com/docs/>`_.
License
-------
Copyright (c) 2023, Qualcomm Technologies Inc. All rights reserved.
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"description": "Qualcomm\u00ae AI Hub\n================\n\n`Qualcomm\u00ae AI Hub <https://aihub.qualcomm.com>`_ simplifies deploying AI models\nfor vision, audio, and speech applications to edge devices.\n\nhelps to optimize, validate,\nand deploy machine learning models on-device for vision, audio, and speech use\ncases.\n\nWith Qualcomm\u00ae AI Model Hub, you can:\n\n- Convert trained models from frameworks like PyTorch for optimized on-device performance on Qualcomm\u00ae devices.\n- Profile models on-device to obtain detailed metrics including runtime, load time, and compute unit utilization.\n- Verify numerical correctness by performing on-device inference.\n- Easily deploy models using Qualcomm\u00ae AI Engine Direct or TensorFlow Lite.\n\n:code:`qai_hub` is a python package that provides an API for users to upload a\nmodel, submit the profile jobs for hardware and get key metrics to optimize the\nmachine learning model further.\n\n\nInstallation with PyPI\n----------------------\n\nThe easiest way to install :code:`qai_hub` is by using pip, running\n\n:code:`pip install qai-hub`\n\nFor more information, check out the `documentation <https://app.aihub.qualcomm.com/docs/>`_.\n\nLicense\n-------\n\nCopyright (c) 2023, Qualcomm Technologies Inc. All rights reserved.\n\n\n",
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