Deploy models in ONNX format
Project description
audonnx deploys machine learning models stored in ONNX format.
Machine learning models can be trained in a variety of frameworks, e.g. scikit-learn, TensorFlow, Torch. To be independent of the training framework and its version models can be exported in ONNX format, which enables you to deploy and combine them easily.
audonnx allows you to name inputs and outputs of your model, and automatically loads the correct feature extraction from a YAML file stored with your model.
Have a look at the installation and usage instructions.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file audonnx-0.6.5.tar.gz.
File metadata
- Download URL: audonnx-0.6.5.tar.gz
- Upload date:
- Size: 299.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0cf7295a51340a1acd03fa1627f9015e67bc424f3ad14f68b3a8726012804c40 |
|
| MD5 | 0072f88660b2553137337e58d65c5e2d |
|
| BLAKE2b-256 | 6b9e7e74c1f1d1d7c02a267ef0cf3a7060da466cb7b5d2553ec35813b5b30cca |
File details
Details for the file audonnx-0.6.5-py3-none-any.whl.
File metadata
- Download URL: audonnx-0.6.5-py3-none-any.whl
- Upload date:
- Size: 296.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c3802ecd76d67f320c9fc52410883699d34f4517074193e54a1cc7a07c35f08d |
|
| MD5 | f6fc3fd6071c9c838aa37576f106e9b9 |
|
| BLAKE2b-256 | 4673d63e308da7251adebd15a1f59d989860776f4387c952c81400ff908aae35 |
