Supporting PyTorch models with the Google AI Edge TFLite runtime.
Project description
Library that supports converting PyTorch models into a .tflite format, which can then be run with TensorFlow Lite and MediaPipe. This enables applications for Android, iOS and IOT that can run models completely on-device.
Install steps and additional details are in the AI Edge Torch GitHub repository.
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file ai_edge_torch_nightly-0.3.0.dev20241101-py3-none-any.whl.
File metadata
- Download URL: ai_edge_torch_nightly-0.3.0.dev20241101-py3-none-any.whl
- Upload date:
- Size: 301.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9f92184f8513cb673d62fd62bd6c9d556b91873a5aba186393086cf220664b62 |
|
| MD5 | 938e67210252426307929d2793d07a9c |
|
| BLAKE2b-256 | 4e8cc729d7dd59103e86c360550f965b91328f0b957ebdf47583b70c7e0ccf8c |
