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-0.0.62.tar.gz (23.0 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.0.62-py3-none-any.whl (22.9 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.0.62.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.0.62.tar.gz
  • Upload date:
  • Size: 23.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for audiolm-pytorch-0.0.62.tar.gz
Algorithm Hash digest
SHA256 85d19830aa1c313802442788797a97dcb176a1dc7bc5324ccecd8c9af24ed7b9
MD5 6d29341b77510fbd6e20e52128b529d2
BLAKE2b-256 f970121c5be6119416c20aeec7a397088c1d6fda89c22b617f86c9066e85dfe5

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.0.62-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.0.62-py3-none-any.whl
Algorithm Hash digest
SHA256 37808643e8f983748c072c92ce2c3a1e61325cf2cc4ae0c6fbc49f15bdf061e2
MD5 7553e79959e2b7b42d9bb559b0234d2f
BLAKE2b-256 a2d2da0fa570dabdd608934f0c2cef7810dc516a585367828ad0bb21948f0af4

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