Factual package intelligence from PyPI

vit-trainer 0.1.0 package intelligence

A simple, educational package for fine-tuning Vision Transformers

pip install vit-trainer

Current version
0.1.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
57.2 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

vit-trainer dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0.0
  2. torchvision >=0.15.0
  3. numpy >=1.24.0
  4. tqdm >=4.65.0
  5. Pillow >=9.4.0
  6. scikit-learn >=1.2.0
  7. matplotlib >=3.7.0
  8. seaborn >=0.12.0
  9. PyYAML >=6.0

The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

vit-trainer publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

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 .