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microsoft-MiniLM-L12-H384-uncased 0.1.5 package intelligence

A library that leverages the pre-trained microsoft_MiniLM-L12-H384-uncased model for efficient and lightweight text classification tasks, with a focus on English. The library offers easy-to-use fine-tuning capabilities, making it suitable for rapid deployment in resource-constrai

pip install microsoft-minilm-l12-h384-uncased

Current version
0.1.5
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
21.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

microsoft-MiniLM-L12-H384-uncased dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. transformers <5.0.0,>=4.20.0
  2. tokenizers <0.14.0,>=0.10.0
  3. torch <2.0.0,>=1.7.0
  4. pandas >=1.1.0
  5. scikit-learn >=1.0
  6. numpy <1.24.0,>=1.19.0

Compatibility and release files

microsoft-MiniLM-L12-H384-uncased publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .