Factual package intelligence from PyPI

litespecformer 0.0.3 package intelligence

A lightweight Transformer-based model for spectrum prediction and time series forecasting

pip install litespecformer

Current version
0.0.3
Python requirement
>=3.11
License
Apache License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
7.6 MiB
Release history
2 releases with files
Median release cadence
0 days

litespecformer dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. accelerate ==1.12.0
  2. chronos-forecasting ==2.2.2
  3. colorama ==0.4.6
  4. datasets ==4.5.0
  5. einops ==0.8.2
  6. matplotlib ==3.10.8
  7. numpy ==2.4.3
  8. pandas ==3.0.1
  9. peft ==0.18.1
  10. pysdkit ==0.4.23
  11. s2generator ==0.0.11
  12. safetensors ==0.7.0
  13. scikit-learn ==1.8.0
  14. torch ==2.10.0
  15. tqdm ==4.67.1
  16. transformers ==4.57.6
  17. wandb ==0.24.2

Compatibility and release files

litespecformer publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.11.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .