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-0.11.4.tar.gz (30.3 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.11.4-py3-none-any.whl (28.6 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.11.4.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.11.4.tar.gz
  • Upload date:
  • Size: 30.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.11.4.tar.gz
Algorithm Hash digest
SHA256 7b557449d17c3cceb9fd93e23128c4785e2cc6c0fd8a6ffaeda0e6d66d865066
MD5 7d07787d628cead8cbff16d1f2c1f80b
BLAKE2b-256 015869637e382d5f11627832e17e71d1cdd8a011986b5d199e260f4c4beb0704

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.11.4-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.11.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f36c3bd9c504ee22658591a49df5173a53e720f82721280fb8389f13a82ab1e6
MD5 fe245873b86a8028f9cfc12c98dc01f0
BLAKE2b-256 99f06ca3a9883889d93ba367e33c8df7fd5f579a7da0a39bf6809abefa190e85

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