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-0.15.4.tar.gz (32.0 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.15.4-py3-none-any.whl (30.2 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.15.4.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.15.4.tar.gz
  • Upload date:
  • Size: 32.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.15.4.tar.gz
Algorithm Hash digest
SHA256 4872cadf0e7802a6ccfa7c6594637cb6c59a6e9dbbf933ff6e8323105b027f8c
MD5 6c32fc2fe9730d11b7aceb065ed4f5ba
BLAKE2b-256 8489745fe2092824b8783f028a1e28d885e7053fe46d08ec3fe4afb3c70cba24

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.15.4-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.15.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f5db029ca18fecc060355345ba4e7e25be4ddb42d205a66d0c4fa06411be0be4
MD5 2500ea3c92113ec7b1f20946d5c3acc6
BLAKE2b-256 df3829ecf57d6a1c8da714a9653cdfe56559a201f01d91da92a6d4e542a16584

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