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AISOP-mdl-classifier
PH-Weingarten/AISOP-mdl-classifier
AISOP-mdl-classifier is a machine learning model from PH-Weingarten. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for spacy. The card lists the license as apache-2.0.
This is a series of spacy models for the classification tasks.
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Public
Updated Oct 30, 2025
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At a glance
- Library
- spacy
- License
- apache-2.0
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025
- SHA
- 601a4443
Base models
Model card
From the Hugging Face model README
AISOP-MdL-classifiers
This is a series of spacy models for the classification tasks.
Try it here
- Install spaCy
python python recognize.py l1-model l2-models "Outro intro zooming"
Yields an output such as {"Tonebene": {"score": 0.99, "subs": {"Musik": 0.4, "Geraeusche": 0.34, "Sprache": 0.3}}}
Web-App Packaging
This model is part of the AISOP-domain-fundid https://gitlab.com/aisop/aisop-domain-mdl which is designed to serve for the AISOP-webapp.
The python scripts there use the models and the spaCy library to classify each "paragraph" of e-portfolios stored in HTML and even generate words using tesseract (if the picture is available) and annotate them too.
The scripts enrich the HTML with data-topic-* attributes, indicating the presence of topics in the paragraphs.
The scripts can be tested in the web-app in the /debug/ road.
- Library
- spacy
- License
- apache-2.0
- Languages
- de
- Created
- Oct 30, 2025
- Updated
- Oct 30, 2025