semvec/pypi-packages huggingface dataset:
qai-hub 0.45.0
Python API for Qualcomm® AI Hub.
License: BSD License
Requires Python: >=3.10

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://workbench.aihub.qualcomm.com/docs/>`_.

License
-------

Copyright (c) 2023, Qualcomm Technologies Inc. All rights reserved.