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-2.4.0.tar.gz
(47.4 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file audiolm_pytorch-2.4.0.tar.gz.
File metadata
- Download URL: audiolm_pytorch-2.4.0.tar.gz
- Upload date:
- Size: 47.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d7f733abf747d3b79938bf684eb18d4f02b5fcd637daf6c170b1cd603a0ba90
|
|
| MD5 |
09c02942c722dbef33a52051ae41eeb9
|
|
| BLAKE2b-256 |
3c8dee0c3006b145e9d0cebeef7316126b4d26699f649e0be16d98298534625b
|
File details
Details for the file audiolm_pytorch-2.4.0-py3-none-any.whl.
File metadata
- Download URL: audiolm_pytorch-2.4.0-py3-none-any.whl
- Upload date:
- Size: 44.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.9.21
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d6e41d41c2b6694ddbe19c6de92650b5333f01aad217255f8e42784817a08344
|
|
| MD5 |
e76c4ce6bbd18767136bbf66263167ff
|
|
| BLAKE2b-256 |
c98edd4be4f4342f719aee008c6604b72a520d923a19a612606f26a7fb247432
|