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sentiment-versioning-demo
Wadden/sentiment-versioning-demo
sentiment-versioning-demo is a text classification model from Wadden. 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.
Three traceable DistilBERT variants from the model-versioning lab. Each variant is a Hub commit and tag; the best one is exposed through the production branch for independent deployment and rollback.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026
- SHA
- 1de5ded6
Try a prompt
Datasets
Model card
From the Hugging Face model README
Versioned Sentiment Classifier
Three traceable DistilBERT variants from the model-versioning lab.
Each variant is a Hub commit and tag; the best one is exposed through the
production branch for independent deployment and rollback.
Versions
| Tag | Training data | Max length |
|---|---|---|
| v1 | 2,000 Rotten Tomatoes reviews | 128 |
| v2 | 2,000 Rotten Tomatoes reviews | 256 |
| v3 | 2,000 IMDb reviews | 256 |
Common-test comparison
All variants were evaluated on the same Rotten Tomatoes test split.
| Version | Accuracy |
|---|---|
| v1 | 0.7955 |
| v2 | 0.8011 |
| v3 | 0.7955 |
Promoted version: v2 (branch production).
Usage
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="Wadden/sentiment-versioning-demo",
revision="production")
Interactive production demo
The quantized ONNX export of the promoted v2 revision is executed directly in the browser:
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026