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

1.5.5

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-1.5.5.tar.gz (43.5 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-1.5.5-py3-none-any.whl (41.7 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-1.5.5.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-1.5.5.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-1.5.5.tar.gz
Algorithm Hash digest
SHA256 73bc91778d4ffe12cb8121ccaa76aa684d074cc70627ac3c4216f4effc3e8666
MD5 5ab665316b3dbddcb056be8f969a5975
BLAKE2b-256 a7659ec5090005739bea5f5c5566532321d414739f0d6f45c762b415e5c7e64e

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-1.5.5-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-1.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 0e0d4e2372fe0271ec31755175f6c793e46f0833568d97f4493a3c31168d1de3
MD5 8e82c1a357a2c5b387b0f4bbb1fd2069
BLAKE2b-256 c8728184ac99306008303962e8e7f2051934a91335d0f8f1b6c335e2c586e990

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