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-0.9.0.tar.gz
(29.5 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.9.0.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.9.0.tar.gz
- Upload date:
- Size: 29.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 49d6d8dfd623480c239f732f75c3981433707acc7cc27d96cd4bce3d1120b4f9 |
|
MD5 | 9cd5194f132a9fbaeb24236659a2c18b |
|
BLAKE2b-256 | 773e7994b4489178c20fa25a5222e708c5b56c496b9139dab23e4e785bbea843 |
File details
Details for the file audiolm_pytorch-0.9.0-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.9.0-py3-none-any.whl
- Upload date:
- Size: 28.0 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 | 13dcfd7a9db97ef89a55e29e56c1b1d29fc1421a2959ecaab6c371078da13250 |
|
MD5 | b31b3774130cb9fe7150180a76219bce |
|
BLAKE2b-256 | 677b1a5a23a3929ebf3195d01a78ef4d9f8a3cb14721edcf1a837afcb4f20165 |