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-2.4.0.tar.gz (47.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

audiolm_pytorch-2.4.0-py3-none-any.whl (44.2 kB view details)

Uploaded Python 3

File details

Details for the file audiolm_pytorch-2.4.0.tar.gz.

File metadata

  • Download URL: audiolm_pytorch-2.4.0.tar.gz
  • Upload date:
  • Size: 47.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.21

File hashes

Hashes for audiolm_pytorch-2.4.0.tar.gz
Algorithm Hash digest
SHA256 4d7f733abf747d3b79938bf684eb18d4f02b5fcd637daf6c170b1cd603a0ba90
MD5 09c02942c722dbef33a52051ae41eeb9
BLAKE2b-256 3c8dee0c3006b145e9d0cebeef7316126b4d26699f649e0be16d98298534625b

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-2.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d6e41d41c2b6694ddbe19c6de92650b5333f01aad217255f8e42784817a08344
MD5 e76c4ce6bbd18767136bbf66263167ff
BLAKE2b-256 c98edd4be4f4342f719aee008c6604b72a520d923a19a612606f26a7fb247432

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page