Skip to main content

A package to make the usage of DeepLearning models easier

Reason this release was yanked:

0.1.7

Project description

SVNM Package

This is a simple Python package that greets the user with a friendly message.

Installation

pip install svnm

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

svnm-0.1.7.tar.gz (6.8 kB view details)

Uploaded Source

Built Distributions

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

svnm-0.1.7.0-py3-none-any.whl (8.9 kB view details)

Uploaded Python 3

svnm-0.1.7-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file svnm-0.1.7.tar.gz.

File metadata

  • Download URL: svnm-0.1.7.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for svnm-0.1.7.tar.gz
Algorithm Hash digest
SHA256 9f256461e058eb5c14a56c422f4c7045e2b82afda6be56aa2813de23395cff6d
MD5 c9f5596755b54c4694f011127137a03f
BLAKE2b-256 7d5c7bf675fc1ee71889c9d1f723ba851db24d74a8377755b05e8274c2e6da71

See more details on using hashes here.

File details

Details for the file svnm-0.1.7.0-py3-none-any.whl.

File metadata

  • Download URL: svnm-0.1.7.0-py3-none-any.whl
  • Upload date:
  • Size: 8.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for svnm-0.1.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2776c260921834ed3bcfc999b90ee1e4851731792c4a9dc1ce358186c3e15c38
MD5 632a9226e020bc892f85747f5521517b
BLAKE2b-256 6717e132688e157a079552fb1f2552061f1250f2373d1e2a725ae2aa369f6912

See more details on using hashes here.

File details

Details for the file svnm-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: svnm-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.1

File hashes

Hashes for svnm-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 8fd0310223536f7fa61859d2e5a2811a97fc5dfe7235140bc972b060ed657860
MD5 929f51a37d6359a13e59e46669e89658
BLAKE2b-256 e24eb9c1812a728a30c170478c5b2a1dac8126a54728f8299c748f576494846e

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