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-0.28.0.tar.gz
(38.1 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.28.0.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.28.0.tar.gz
- Upload date:
- Size: 38.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8ed1189fa9bde8f59b9db81f3b330373e7e6e8c4c73358ce572b84e64b35c53a |
|
MD5 | 2178c67a810bc92e6d13198e34a85f35 |
|
BLAKE2b-256 | d19675994c7aa925ab7f02d50f8355b947f4792cbe9d4422464b74180dc2fe3f |
File details
Details for the file audiolm_pytorch-0.28.0-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.28.0-py3-none-any.whl
- Upload date:
- Size: 36.2 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 | b60e219bd60ba519552482e1718bcafec1f20a45328c5e7c66893ab31afdbf56 |
|
MD5 | 9509e6951d68885a11de02a31f135a36 |
|
BLAKE2b-256 | 3e6d9fb9490eb5e3d686173df24bd85ab30e9c0457e3efd32b60df5c782630c5 |