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 0.2.0.dev20240527
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-0.2.0.dev20240527-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.2.0.dev20240527-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.2.0.dev20240527-py3-none-any.whl |
|---|---|
| Size | 149.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
273b2a2f59c9a4233c60696bf7aa596e779c8784ed2f3e97d2f34e9c9c7bf0dd
|
|
BLAKE2b-256 checksum How to use checksums |
07b3c784e76f31cf285a953ace44a6f56f284d2f71f9e16dd117a5e96177e3a7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.7
|
