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gpt2-xl_smell-doc
aieng-lab/gpt2-xl_smell-doc
gpt2-xl_smell-doc is a text classification model from aieng-lab. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model classifies smell documentation as 'fragmented', 'tangled', 'excessive', 'bloated' or 'lazy'.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- f72a5f50
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Base models
Model card
From the Hugging Face model README
GPT-2 xl for classifying smell documentation (multi-label)
This model classifies smell documentation as 'fragmented', 'tangled', 'excessive', 'bloated' or 'lazy'.
- Developed by: Fabian C. Peña, Steffen Herbold
- Finetuned from: gpt2-xl
- Replication kit: https://github.com/aieng-lab/senlp-benchmark
- Language: English
- License: MIT
Citation
@misc{pena2025benchmark,
author = {Fabian Peña and Steffen Herbold},
title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
year = {2025}
}
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Languages
- en
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025