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t5-base_se-entities
aieng-lab/t5-base_se-entities
t5-base_se-entities is a token classification model from aieng-lab. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This model detects software engineering terminology in developer forums (e.g., Stack Overflow) as 'DataStructure', 'Application', 'CodeBlock', 'Function", 'DataType', 'Language', 'Library', 'Variable', 'Device', 'User…
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.safetensors219 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- 747a2c7f
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Base models
Model card
From the Hugging Face model README
T5 base for detecting software engineering terminology
This model detects software engineering terminology in developer forums (e.g., Stack Overflow) as 'Data_Structure', 'Application', 'Code_Block', 'Function", 'Data_Type', 'Language', 'Library', 'Variable', 'Device', 'User_Name', 'User_Interface_Element', 'Class', 'Website', 'Version', 'File_Name', 'File_Type', 'Operating_System', 'Output_Block', 'Algorithm' or 'HTML_XML_Tag'.
- Developed by: Fabian C. Peña, Steffen Herbold
- Finetuned from: t5-base
- 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
- Token Classification
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025