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.dev20241106
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.dev20241106-py3-none-any.whl | Python 3 | none | any | Details |
Release files / ai_edge_torch_nightly-0.3.0.dev20241106-py3-none-any.whl
| Download URL | ai_edge_torch_nightly-0.3.0.dev20241106-py3-none-any.whl |
|---|---|
| Size | 301.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bbbc1dd15381d41af4dcf9b889de198ecca641c65c9bfdd5e8c3a68c1859692d
|
|
BLAKE2b-256 checksum How to use checksums |
0dd6e5bfc1420d0930d926f64379e5e34956874c8de94ba6296ed780c1dc8a18
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
|
