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.dev20241128
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.dev20241128-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.3.0.dev20241128-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.3.0.dev20241128-py3-none-any.whl |
|---|---|
| Size | 320.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d9c01297baf2d58b70c403e9270e005b780a15d1901176afc9bf31cbe7715a3a
|
|
BLAKE2b-256 checksum How to use checksums |
d835165e1b71f8974dd3e26c08fbf6f55ed0230e1afc2cd573bd5d4956ed4715
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|
