Factual package intelligence from PyPI

Transformer-Text-AutoEncoder 0.0.4 package intelligence

Transformer Text AutoEncoder: An autoencoder is a type of artificial neural network used to learn efficient encodings of unlabeled data, the same is employed for textual data employing pre-trained models from the hugging-face library.

pip install transformer-text-autoencoder

Current version
0.0.4
Python requirement
Not declared
License
BSD 2-clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
8.7 KiB
Release history
5 releases with files
Median release cadence
0 days

Transformer-Text-AutoEncoder dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tqdm >=4
  2. nltk >=3
  3. numpy
  4. transformers
  5. torch

Compatibility and release files

Transformer-Text-AutoEncoder publishes 1 wheel and 1 source archive for version 0.0.4. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.6, 3.7, 3.8, 3.9.

Metadata completeness

PyPI does not currently declare: Python requirement. 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 .