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-0.0.9.tar.gz
(12.7 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.0.9.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.0.9.tar.gz
- Upload date:
- Size: 12.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 35bf6f26512127fa38102118e9b56ae2768a45e6eee5a52ca4ae8a4169092b06 |
|
MD5 | 055caf6ca756c8b21bba5d2c46b359a6 |
|
BLAKE2b-256 | 7a3bd31bd5b75bf6674cc906b1dcda1b889936e96ec83e575725689ab5178e88 |
File details
Details for the file audiolm_pytorch-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.0.9-py3-none-any.whl
- Upload date:
- Size: 12.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.15
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 39fed6e35d634e7148b1090f449fb0d88f56d485cb5afcfb13431855da8a9e46 |
|
MD5 | 0fce16aa6b39a890c9c6d3cd4b247e50 |
|
BLAKE2b-256 | 264011e4507b2274c8af9e97e3f255702898ffe0fceaedddd82ba83bf7cefed7 |