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-0.0.68.tar.gz
(23.6 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.0.68.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.0.68.tar.gz
- Upload date:
- Size: 23.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d54e8cb8be3b23b060a3032e2af5f14e0948e6bffb69b2779379572410f9b041 |
|
MD5 | a605124124997c5c925cce5212b36407 |
|
BLAKE2b-256 | ca7b5a4633101147789ed7f605a095e46e8807c113fc228c95ccc3bd8def075a |
File details
Details for the file audiolm_pytorch-0.0.68-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.0.68-py3-none-any.whl
- Upload date:
- Size: 23.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43ee1f177a534c9dbb4c78cdc5b477686bd72ba54d36f5a8992b9f5a4fe73863 |
|
MD5 | 1fd612ae3cfb7a117b5a9a179ba4490f |
|
BLAKE2b-256 | bdbdb51ba0b56bd73b970000ed366992909eee2045e8c7b5d2d48b9b1949f261 |