Factual package intelligence from PyPI

balinese-embeddingvector 0.0.9 package intelligence

A Python package for utilizing Pretrained Balinese Word Embedding Model using FastText, Word2Vec, Glove, and BERT

pip install balinese-embeddingvector

Current version
0.0.9
Python requirement
>=3.8
License
BSD License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
22.9 KiB
Release history
4 releases with files
Median release cadence
0 days

balinese-embeddingvector dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gensim ==4.3.3
  2. huggingface-hub ==0.33.0
  3. scikit-learn ==1.2.1
  4. matplotlib ==3.6.3
  5. matplotlib-inline ==0.1.6
  6. nltk ==3.8.1
  7. transformers ==4.33.3
  8. torch ==2.3.0

Compatibility and release files

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

Declared Python classifiers: 3.8.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 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.