Instructions to use GE-Lab/SDGs-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GE-Lab/SDGs-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GE-Lab/SDGs-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GE-Lab/SDGs-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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This repository contains the pre-trained model weights (`best_model.pt`) for the paper: **"Bridging the Sustainable Development Goals: A Multi-Label Text Classification Approach for Mapping and Visualizing Nexuses in Sustainability Research"**.
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➡️ **GitHub Repository (Code):** [https://github.com/Green-Engineers-Lab/SDGs-classifier/]
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➡️ **Paper Link:** [
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## 📝 Model Description
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This repository contains the pre-trained model weights (`best_model.pt`) for the paper: **"Bridging the Sustainable Development Goals: A Multi-Label Text Classification Approach for Mapping and Visualizing Nexuses in Sustainability Research"**.
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➡️ **GitHub Repository (Code):** [https://github.com/Green-Engineers-Lab/SDGs-classifier/]
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➡️ **Paper Link:** [Bridging the Sustainable Development Goals: A Multi-Label Text Classification Approach for Mapping and Visualizing Nexuses in Sustainability Research](https://doi.org/10.5281/zenodo.18309569)
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## 📝 Model Description
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