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-0.14.1.tar.gz
(31.3 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.14.1.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.14.1.tar.gz
- Upload date:
- Size: 31.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 323b4a417b229631f474584f6702fa341284ef6ff81a5c73a094e0f9ed305e6f |
|
MD5 | 3ec30b3ca98f2ac8236a0a25e0bce5cc |
|
BLAKE2b-256 | d14c67c5787978680b98eea4c856125ab0838c481717fb1d3a4f6ea8882cb355 |
File details
Details for the file audiolm_pytorch-0.14.1-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.14.1-py3-none-any.whl
- Upload date:
- Size: 29.3 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 | d2ad0d59b52176bfce02db8c6523cdb7e600bbbbb523be5c17e12a765a6dfc81 |
|
MD5 | cd7905918a9c38e9520676a3e17c24a1 |
|
BLAKE2b-256 | f1c81e96bb57ec5c883cc83298d640062fecde81b1375508cf1e7a1965f13486 |