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-0.2.0.tar.gz
(26.4 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.2.0.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.2.0.tar.gz
- Upload date:
- Size: 26.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 495a3e9809a678a1c6c0dedc93912f7ba0a754ff2a30d6ab661945f94ad73e0b |
|
MD5 | 85657ff429abec9bb776506024bc1058 |
|
BLAKE2b-256 | 1ed9826c0eb1cf538ab1a503677fd7a1c1fadb706960fdb372d4111230311d4a |
File details
Details for the file audiolm_pytorch-0.2.0-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.2.0-py3-none-any.whl
- Upload date:
- Size: 25.3 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 | 574ad177bd5fbb0e31bf5ede1d32611bde5b724736b7c45da1ce051c9b64b89c |
|
MD5 | 59348672d9d800002019babd05ded868 |
|
BLAKE2b-256 | c41777eaea6904fc627f8fcf25db735be6a863ae3e47b2f884977eef63af22bc |