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 0.6.0.dev20250523
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-0.6.0.dev20250523-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.6.0.dev20250523-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.6.0.dev20250523-py3-none-any.whl |
|---|---|
| Size | 435.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9792e71d57fc800b29790f509438592abbbb8b9d6bf9daf64ddf70d3c68a565f
|
|
BLAKE2b-256 checksum How to use checksums |
2f6455c323588f4a331b3a7b9db372686f54777eab49e2d639c3aab2a8b79fc3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.12
|
