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maai-theme-sl
maai-project/maai-theme-sl
maai-theme-sl is a text classification model from maai-project. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned distilroberta-base that predicts the primary theme of a climate-related article or paragraph.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jan 28, 2026
- Updated
- Jan 28, 2026
- SHA
- 9b4ee07b
Try a prompt
Model card
From the Hugging Face model README
MAAI Theme Classifier (Single Label)
This model is a fine-tuned distilroberta-base that predicts the primary theme of a climate-related article or paragraph.
Task
Given an input text (sentence, paragraph, or article), the model predicts exactly one theme label.
Labels
The full label set and mappings are provided in label_map.json.
Model Details
- Architecture: DistilRoBERTa
- Task type: Single-label text classification
- Base model:
distilroberta-base
Training
- Dataset: Final_20k_Articles_for_MaaiBert.csv
- Epochs: 4
- Train batch size: 16
- Evaluation batch size: 32
Evaluation
Evaluation results on the test set are available in test_metrics.json.
Usage
from transformers import pipeline
classifier = pipeline(
"text-classification",
model="maai-project/maai-theme-sl"
)
classifier("New policies aim to reduce carbon emissions and introduce carbon taxes.")
Notes
- This model predicts one label only per input.
- For best results, use complete sentences or paragraphs.
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Jan 28, 2026
- Updated
- Jan 28, 2026