Downloads · 30 days
14
8% of all-time downloads
maai-frame-sl
maai-project/maai-frame-sl
maai-frame-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 identifies the dominant framing used in a climate-related text.
All-time downloads
175
Public
Parameters
82.1M
329 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors329 MB · 99%
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
- 685b9126
Try a prompt
Model card
From the Hugging Face model README
MAAI Frame Classifier (Single Label)
This model is a fine-tuned distilroberta-base that identifies the dominant framing used in a climate-related text.
Task
Given an input text (sentence, paragraph, or article), the model predicts exactly one frame 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-frame-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