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

This version

1.8.5

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-1.8.5.tar.gz (45.7 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-1.8.5-py3-none-any.whl (43.1 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-1.8.5.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-1.8.5.tar.gz
  • Upload date:
  • Size: 45.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for audiolm-pytorch-1.8.5.tar.gz
Algorithm Hash digest
SHA256 5e37248bd44e91b36cf523076d96911dcb9b9566436219379fea3f43a2109c46
MD5 66a14d461763d3929b30d6b08785c3b1
BLAKE2b-256 39dc53c57c175344b57aeba0a155b969b9c3f7d1f175583efdfa7dfaec054f3b

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-1.8.5-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-1.8.5-py3-none-any.whl
Algorithm Hash digest
SHA256 fd9a154075ae818e842f55615263b6c96fca67b90b8f72b7026629352a9d49b7
MD5 7f1515ce48ed2a89ff31819586223d81
BLAKE2b-256 f1acc44311a84fcc8a6feb5e445f35440f96adc5f1634cd2d1855049d85994b9

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