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

This version

1.5.4

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-1.5.4.tar.gz (43.5 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-1.5.4-py3-none-any.whl (41.7 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-1.5.4.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-1.5.4.tar.gz
  • Upload date:
  • Size: 43.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for audiolm-pytorch-1.5.4.tar.gz
Algorithm Hash digest
SHA256 9fa8b8ac0b2cb7597bf1ca2d9ef5714dc00600324d1be4f8f43e5253463bf7c5
MD5 c1ec106a817249119f03a1cc59950394
BLAKE2b-256 b54274cc7988c1f96391608156308afb507b75d4fbef0e97a39fff651e927577

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-1.5.4-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-1.5.4-py3-none-any.whl
Algorithm Hash digest
SHA256 bd702218070db26b81ca14ad61f64c408dbe60e6ff84b6811f1581eb1357ca33
MD5 7d0b4951c146a18a3354841283af6135
BLAKE2b-256 9c1e2280d67ba9dd0cfcdbcec889144734474633f5b996c4a299038a06cd577b

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