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-0.3.1.tar.gz (26.6 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.3.1-py3-none-any.whl (25.5 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.3.1.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.3.1.tar.gz
  • Upload date:
  • Size: 26.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for audiolm-pytorch-0.3.1.tar.gz
Algorithm Hash digest
SHA256 579dafe3056fb8cef89acbea7c0fa8812b52bf7a95af9337ee43cd2c48b23014
MD5 908b7513725fb99a08d1aa3fccc7ac78
BLAKE2b-256 1864a9c227f4b7e7c7a5bdee10ea40bacac5734bcbcb74469cce00f067fe743c

See more details on using hashes here.

Provenance

File details

Details for the file audiolm_pytorch-0.3.1-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 50621dd4fb44aaa933cf8d8457bc951241161b684238d6d83f2257da3c57827e
MD5 b40444e5c7bfa3138914b1cf2f349147
BLAKE2b-256 88d88801f17c378fc19ccba3caa00e0cf2a04c56b84d08c9f26471ab8ab02113

See more details on using hashes here.

Provenance

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