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maai-frame-sl – AI Model by maai-project | AlphaNeural AI

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maai-project/
maai-frame-sl

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text-classification

text-embeddings-inference

endpoints_compatible

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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

python

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.