Skip to main content

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-0.7.1.tar.gz (28.3 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.7.1-py3-none-any.whl (26.8 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.7.1.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.7.1.tar.gz
  • Upload date:
  • Size: 28.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.7.1.tar.gz
Algorithm Hash digest
SHA256 0f5aaadcfa90d30c85355584f3198e45e7590363e45774082e7c074db5026827
MD5 65c57d2923916dd3e6f9c4a194eae1bf
BLAKE2b-256 7016ecbb450828f12cd5d1793d576cb807fcad2130eecea58ce41c9e88490306

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.7.1-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fc6e8fb0f1daade738f3075519691bd5e444f9e1e9b06385bd031569e5b408fd
MD5 ac4ab83b61b4c025a3b49164250fd630
BLAKE2b-256 c9e6f6645e7c4a3a4ccdaf463ce0eff7734552cfacabf4566bbe52abbfdf25f8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page