Factual package intelligence from PyPI

configvlm 0.1.1 package intelligence

A state-of-the-art tool for Python developers seeking to rapidly and iteratively develop vision and language models within the [`pytorch`](https://pytorch.org/) framework

pip install configvlm

Current version
0.1.1
Python requirement
>=3.10,<4.0
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
85.5 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

configvlm dependencies

PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=1.13.1
  2. numpy >=1.24.1,<2.0.0
  3. timm >=0.6.12,<0.7.0
  4. transformers >=4.26.0,<5.0.0
  5. appdirs >=1.4.4,<2.0.0
  6. lmdb >=1.4.0,<2.0.0
  7. bigearthnet-encoder >=0.3.0,<0.4.0
  8. pytorch-lightning >=1.9.0,<2.0.0
  9. matplotlib >=3.6.3,<4.0.0
  10. scikit-learn >=1.2.1,<2.0.0
  11. lightning-bolts >=0.6.0.post1,<0.7.0
  12. fvcore >=0.1.5.post20221221,<0.2.0

Compatibility and release files

configvlm publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .

The project does not publish external project URLs in its PyPI metadata.