SoundStorm - Efficient Parallel Audio Generation from Google Deepmind, in 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
soundstorm-pytorch-0.0.29.tar.gz
(19.2 kB
view details)
Built Distribution
File details
Details for the file soundstorm-pytorch-0.0.29.tar.gz
.
File metadata
- Download URL: soundstorm-pytorch-0.0.29.tar.gz
- Upload date:
- Size: 19.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c2a1f8a7919c20800cead2c3c00642cf9f440cf504306e0f560223cd6784b47f |
|
MD5 | 5432fddc04dd45ef0ab734766d50b0a2 |
|
BLAKE2b-256 | 9232358a79c467c9cb42d8318b49094ff79f4f25c9f59b73de46f4823c25a189 |
File details
Details for the file soundstorm_pytorch-0.0.29-py3-none-any.whl
.
File metadata
- Download URL: soundstorm_pytorch-0.0.29-py3-none-any.whl
- Upload date:
- Size: 17.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a20ca13978be774db0150bd73d3931a83c8330c3fa9d4b65188813712b9f97e |
|
MD5 | 16b840516e902bdd33811aa31ff4c04d |
|
BLAKE2b-256 | c06adfa26a9b20e99dd404a025f36a793513dd57d5fb5ae5ae405c459cdd9c65 |