Metadata-Version: 2.4
Name: donald-d
Version: 0.1.0
Summary: Visualise transformer hidden states with diffusion ellipsoids
Author-email: Thomas Fabian <thomas.fabian@tu-darmstadt.de>
License: MIT
Project-URL: Homepage, https://github.com/Thomas-1103/donald-d
Keywords: transformers,bert,visualization,nlp,embeddings,huggingface
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24
Requires-Dist: matplotlib>=3.7
Requires-Dist: scipy>=1.11
Requires-Dist: torch>=2.0
Requires-Dist: transformers>=4.40
Dynamic: license-file

# DONALD-D

Visualise transformer hidden states using structure tensors and diffusion ellipses.



## Installation

pip install donald-d



## Quick Start

from donald_d import DONALD_D

DONALD_D("The quick brown fox jumps over the lazy dog.", model_name="bert-base-uncased")



## Command Line Usage

donald-d "The quick brown fox jumps over the lazy dog."

