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joergwa/Edux2
Edux2 is a machine learning model from joergwa. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This multilabel classifier has been developed through PEFT (Parameter Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) techniques to fine-tune the Mistral-7B-v0.1 model. The classifier is designed to assign multi…
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Updated Apr 23, 2025
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From the Hugging Face model README
This multilabel classifier has been developed through PEFT (Parameter Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) techniques to fine-tune the Mistral-7B-v0.1 model. The classifier is designed to assign multiple labels from a total of 500 classes, focusing on German school subjects, educational contexts, target groups, topics, and types of educational context.
Check out Google Colab demo:
https://colab.research.google.com/drive/1BoAc-eBIgmW3uRiFfuLGWqgUd-Lrh1gC?usp=sharing
This work has partially been funded by German Federal Ministry of Education and Research (BMBF) and European Union under FKZ 16INBI001