Skip to main content

VeOmni: Scaling any Modality Model Training to any Accelerators with PyTorch native Training Framework

Project description

The author of this package has not provided a project description

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

veomni-0.0.3.tar.gz (196.0 kB view details)

Uploaded Source

Built Distribution

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

veomni-0.0.3-py3-none-any.whl (263.8 kB view details)

Uploaded Python 3

File details

Details for the file veomni-0.0.3.tar.gz.

File metadata

  • Download URL: veomni-0.0.3.tar.gz
  • Upload date:
  • Size: 196.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for veomni-0.0.3.tar.gz
Algorithm Hash digest
SHA256 32fb4a819e76a768e01bd378f989c55ab7ab5d12035840072a06ac4f3928ccaa
MD5 49a074a8d0abe34af7a917e09c9370aa
BLAKE2b-256 b671bc186ab6f870a8f66fe9d29965719950ecc64b7256e201552586a8fd7c33

See more details on using hashes here.

File details

Details for the file veomni-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: veomni-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 263.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for veomni-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b015db303d2033be658d6b82dd5ab32719187f2b5c3a198e5ed9dfb1577406c2
MD5 bf9d4e1c15b523f4a3ffdf780f8aa177
BLAKE2b-256 5d2cd3b5450e97ad0f5b4419204a17cb56fe1e681745ca900c45f6a3f1e42270

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