Metadata-Version: 2.4
Name: text2concept-pytorch
Version: 0.1.0
Summary: Text2Concept - Concept Activation Vectors Directly from Text, in PyTorch
Home-page: https://github.com/MohamedFarag21/text2concept-pytorch
Author: Mohamed Ibrahim
Author-email: mibrahi2@uni-bonn.de
License: MIT
Keywords: artificial intelligence,deep learning,interpretability,explainability,concept activation vectors,CLIP,zero-shot classification
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
Requires-Dist: accelerate
Requires-Dist: einops>=0.7
Requires-Dist: open-clip-torch>=2.20
Requires-Dist: Pillow
Requires-Dist: torch>=2.0
Requires-Dist: torchvision
Requires-Dist: tqdm
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