Downloads · 30 days
29
47% of all-time downloads
codet5p-220m_se-entities
aieng-lab/codet5p-220m_se-entities
codet5p-220m_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…
All-time downloads
62
Public
Parameters
110M
219 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.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
- f3782c57
Try a prompt
Base models
Model card
From the Hugging Face model README
CodeT5+ 220m 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: 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
- Token Classification
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- en
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025