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-0.0.39.tar.gz (19.7 kB view details)

Uploaded Source

Built Distribution

audiolm_pytorch-0.0.39-py3-none-any.whl (19.9 kB view details)

Uploaded Python 3

File details

Details for the file audiolm-pytorch-0.0.39.tar.gz.

File metadata

  • Download URL: audiolm-pytorch-0.0.39.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for audiolm-pytorch-0.0.39.tar.gz
Algorithm Hash digest
SHA256 b88dbabeae15dfa8679b943c7d67925b8e8169eb698be1823516c6791917104e
MD5 87a65a1d9e407ab6510da8210e014628
BLAKE2b-256 d3051b0faeb7633602cc5df8c6494fd028ed3de22565fcdf24ec354822e95925

See more details on using hashes here.

File details

Details for the file audiolm_pytorch-0.0.39-py3-none-any.whl.

File metadata

File hashes

Hashes for audiolm_pytorch-0.0.39-py3-none-any.whl
Algorithm Hash digest
SHA256 4538d89c4410c6300091837efb8f9794c077d9d77bd9150079fa80d28f115dd9
MD5 b1cbee515ffc8d1f92e97bf2163b272d
BLAKE2b-256 a9b49b416d4d90d255a91deb932d26c94769af3607bf356ef0b96bf12386e34d

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