AudioLM - Language Modeling Approach to Audio Generation from Google Research - Pytorch
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
audiolm-pytorch-0.11.9.tar.gz
(30.5 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.11.9.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.11.9.tar.gz
- Upload date:
- Size: 30.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e9f1920288a7c12ec21043e4ef2cb3c14e21a2c39e12f721b97f105488aab79e |
|
MD5 | d8700a2b24aa56f0b9e00092b556755b |
|
BLAKE2b-256 | ddf06165f5fb54c4a6a15d6b91e3089fc6b844fbd9e035410b947b2c45937b74 |
File details
Details for the file audiolm_pytorch-0.11.9-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.11.9-py3-none-any.whl
- Upload date:
- Size: 28.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f63a1fec873159db76a91d9e17542523d8b254e286a647660b1ac246bff2d996 |
|
MD5 | 8992584d0f6a0531f138c83038f1be9e |
|
BLAKE2b-256 | 96fde93f5871f172d348d22ce7c19a63e1dc1a9675d57c15f9b861a9f558acbe |