Factual package intelligence from PyPI

video-transformers 0.0.9 package intelligence

Easiest way of fine-tuning HuggingFace video classification models.

pip install video-transformers

Current version
0.0.9
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
81.5 KiB
Release history
8 releases with files
Median release cadence
5 days

video-transformers dependencies

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

  1. accelerate <0.15.0,>=0.14.0
  2. evaluate <0.4.0,>=0.3.0
  3. transformers >=4.25.0
  4. timm <0.7.0,>=0.6.12
  5. click ==8.0.4
  6. balanced-loss
  7. scikit-learn
  8. tensorboard
  9. opencv-python
  10. gradio >=3.1.6
  11. huggingface-hub <0.12.0,>=0.11.0
  12. importlib-metadata <4.3,>=1.1.0 when python_version < "3.8"

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

video-transformers publishes 1 wheel and 1 source archive for version 0.0.9. Wheel platform tags: any.

Declared Python classifiers: 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 8 releases with files. The first dated release is ; 8 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .