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codet5p-220m_sentiment
aieng-lab/codet5p-220m_sentiment
codet5p-220m_sentiment 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 the sentiment in developer interactions (e.g., GitHub, Stack Overflow) as 'positive', 'neutral' or 'negative'.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025
- SHA
- 77296462
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Base models
Model card
From the Hugging Face model README
CodeT5+ 220m for classifying the sentiment in communications
This model classifies the sentiment in developer interactions (e.g., GitHub, Stack Overflow) as 'positive', 'neutral' or 'negative'.
- Developed by: Fabian C. Peña, Steffen Herbold
- Finetuned from: Salesforce/codet5p-220m
- 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
- t5
- License
- mit
- Languages
- en
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025