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.dev20250619
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.dev20250619-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.6.0.dev20250619-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.6.0.dev20250619-py3-none-any.whl |
|---|---|
| Size | 437.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
de0216eb5aa242b25f8e9f5cdfdfc6eeb6bf8dd21346acb3d2059d022ef63de6
|
|
BLAKE2b-256 checksum How to use checksums |
8c0e7a8b05ea5d8a9f6426d05e6a6bb2318b100d7563e1eb65bdece9a636fa3e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
|
