Factual package intelligence from PyPI

deer-probe 0.1.1 package intelligence

DEER is an encoder-based knowledge graph completion (KGC) model that uses embedding vectors from generative language models for few-shot learning. It retains in-context learning while ensuring efficient large-scale inference without fine-tuning. DEER excels at predicting new rela

pip install deer-probe

Current version
0.1.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.0 KiB
Release history
2 releases with files
Median release cadence
0 days

deer-probe dependencies

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

  1. beartype
  2. typer
  3. tqdm
  4. torch
  5. transformers

Compatibility and release files

deer-probe publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

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 .