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.dev20241117
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.dev20241117-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.3.0.dev20241117-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.3.0.dev20241117-py3-none-any.whl |
|---|---|
| Size | 314.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
166c7b5f09f7a6676ba8926a4fddd63d534960e364c09648161e22ce603c2890
|
|
BLAKE2b-256 checksum How to use checksums |
64ed4bf2b342df853cb6bff96cecd6a35fc78d064145d2e56e7cd1742621f21c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|