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-1.4.1.tar.gz (42.3 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-1.4.1-py3-none-any.whl (40.7 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-1.4.1.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-1.4.1.tar.gz
  • Upload date:
  • Size: 42.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for audiolm-pytorch-1.4.1.tar.gz
Algorithm Hash digest
SHA256 dd35237a7df2f748fe22b1335b9efd32a11f21da48b5a41e6a6e57ac83fecc70
MD5 06f4d96c9b3eb9eb64c1fa787709d96a
BLAKE2b-256 bf2d706641e8e6fc53e2141a92828328dddde785c1119c0717dab59f00214e4e

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-1.4.1-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 039722057ee64673ffb4e8aae2e1b6c440df5ffd4593bcb0b616f4ae5521a0fc
MD5 1d6f500719ed5ec81f3202fce5f5329b
BLAKE2b-256 15a1c722045a42e15e81acce0e0c8e0e9234a5a8a2bc3ae282b4a01caf042d9b

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