Pre-release
This release is a pre-release and may not be stable for production use.
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.
1 maintainer
Metadata
1 maintainer
Release files for ai-edge-torch-nightly 0.3.0.dev20241224
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_edge_torch_nightly-0.3.0.dev20241224-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.3.0.dev20241224-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.3.0.dev20241224-py3-none-any.whl |
|---|---|
| Size | 335.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
05cfb38a1d9a12133caaa843ba4db217a9b899e7f9c7e89edc0b1f8e95355c62
|
|
BLAKE2b-256 checksum How to use checksums |
419f9c2a3312a9192f08e5951e46f450654cb62fe8bf5cf7fe9bc7cf7d8d1dc4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.11.11
|
