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-1.2.16.tar.gz (41.0 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-1.2.16-py3-none-any.whl (39.4 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-1.2.16.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-1.2.16.tar.gz
  • Upload date:
  • Size: 41.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for audiolm-pytorch-1.2.16.tar.gz
Algorithm Hash digest
SHA256 baf7f2f082d5a26daee038ea4e25441fe73fd057a85b9c8ee8b45665e60a839c
MD5 d5236c0916b31a48cd0666074d583592
BLAKE2b-256 a83e075b9ca84e9adb856ed379919c49a483c0ab6df605876d93cefaa18db84d

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-1.2.16-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-1.2.16-py3-none-any.whl
Algorithm Hash digest
SHA256 4e733be1b3dfe36afc3aab3b3590e2572f1a6d0ebd934a5d4b70f7fb926543ee
MD5 6e155a7741dd48827e1c6698ca421f47
BLAKE2b-256 a5a3d53699e3028fe59bb7f37c4d91ae2eb456edcc8f83672b6f023e9c150088

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