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-0.2.0.tar.gz (26.4 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.2.0-py3-none-any.whl (25.3 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.2.0.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.2.0.tar.gz
  • Upload date:
  • Size: 26.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.2.0.tar.gz
Algorithm Hash digest
SHA256 495a3e9809a678a1c6c0dedc93912f7ba0a754ff2a30d6ab661945f94ad73e0b
MD5 85657ff429abec9bb776506024bc1058
BLAKE2b-256 1ed9826c0eb1cf538ab1a503677fd7a1c1fadb706960fdb372d4111230311d4a

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 574ad177bd5fbb0e31bf5ede1d32611bde5b724736b7c45da1ce051c9b64b89c
MD5 59348672d9d800002019babd05ded868
BLAKE2b-256 c41777eaea6904fc627f8fcf25db735be6a863ae3e47b2f884977eef63af22bc

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