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sst2-sentiment-aurora-islamamro
Islamamro/sst2-sentiment-aurora-islamamro
sst2-sentiment-aurora-islamamro is a text classification model from Islamamro. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Positive vs negative sentiment of movie review sentences.
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At a glance
- Task
- Text Classification
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 28, 2026
- Updated
- Aug 28, 2026
- SHA
- 1ecbc7d5
Try a prompt
Datasets
Model card
From the Hugging Face model README
Movie Sentiment (SST-2) - Aurora - islamamro
Positive vs negative sentiment of movie review sentences.
Fine-tuned from distilbert-base-uncased on SetFit/sst2. Built, trained and published end-to-end via the Aurora Research Portal by islamamro on an NVIDIA RTX 3090.
- Task: text classification (2 classes)
- Held-out accuracy: 0.83
Use it
from transformers import pipeline
clf = pipeline("text-classification", model="Islamamro/sst2-sentiment-aurora-islamamro")
clf("your text here")
Note
Trained on a 1,400-example demo subset - a proof of the Aurora build->train->publish pipeline, not a production model. Fine-tune on full data for real use.
- Task
- Text Classification
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 28, 2026
- Updated
- Aug 28, 2026