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-0.14.2.tar.gz
(31.4 kB
view details)
Built Distribution
File details
Details for the file audiolm-pytorch-0.14.2.tar.gz
.
File metadata
- Download URL: audiolm-pytorch-0.14.2.tar.gz
- Upload date:
- Size: 31.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9654b04d247d3ae170f76e5bb63a36bf34cf718801bfa74dd891e36ba27065b3 |
|
MD5 | 1c7f43e0d990f4351b461733461d3d3c |
|
BLAKE2b-256 | 853a6416588caf08c076b1c44c5acfdea62fc2fb668fb130a098401c67e6d253 |
File details
Details for the file audiolm_pytorch-0.14.2-py3-none-any.whl
.
File metadata
- Download URL: audiolm_pytorch-0.14.2-py3-none-any.whl
- Upload date:
- Size: 29.4 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 | b933d43338e24648f3ff4d1cfb6a6efc5b4b04e0565c77e7c9a09c2b50252587 |
|
MD5 | 6437f64deaf45c137d542075f9c8651a |
|
BLAKE2b-256 | 53818901b7e10ca9e983b86b01e8ba6845750d27efa77b7ed2ce6abe8e38c9c7 |