Factual package intelligence from PyPI

mosaic-model 0.1.4 package intelligence

Here I collected some online and offline models for text tagging.

pip install mosaic-model

Current version
0.1.4
Python requirement
<4.0,>=3.9
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
26.6 KiB
Release history
5 releases with files
Median release cadence
0 days

mosaic-model dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. rouge <2.0.0,>=1.0.1
  2. scikit-learn <2.0.0,>=1.4.1.post1
  3. pymorphy2 <0.10.0,>=0.9.1
  4. nltk <4.0.0,>=3.8.1
  5. rake-nltk <2.0.0,>=1.0.6
  6. coloredlogs <16.0.0,>=15.0.1
  7. tqdm <5.0.0,>=4.66.2
  8. fasttext-wheel <0.10.0,>=0.9.2
  9. transformers <5.0.0,>=4.39.3
  10. sentencepiece <0.3.0,>=0.2.0
  11. sentence-transformers <3.0.0,>=2.6.1
  12. numpy <2.0.0,>=1.24.4
  13. requests <3.0.0,>=2.32.3

Compatibility and release files

mosaic-model publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.9.

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 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

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