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.
Metadata
Release files for ai-edge-torch-nightly 0.3.0.dev20241012
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.dev20241012-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.3.0.dev20241012-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.3.0.dev20241012-py3-none-any.whl |
|---|---|
| Size | 292.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
992b85617efbff2eae38716db128c3e1948e4e395cb4470c24c4ae62b636a5fa
|
|
BLAKE2b-256 checksum How to use checksums |
0344369cc927d01e7f5f884b9fd1f8c2b05043c9ee186b79fdd62cc22c1d78e1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|