Downloads · 30 days
13
19% of all-time downloads
distilbert-sentiment-demo
Wadden/distilbert-sentiment-demo
distilbert-sentiment-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.
Fine-tuned distilbert-base-uncased for 2 epochs on the official rottentomatoes splits. Labels are NEGATIVE (0) and POSITIVE (1).
All-time downloads
68
Public
Parameters
67M
603 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 80%
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
- c14e65ba
Try a prompt
Datasets
Model card
From the Hugging Face model README
DistilBERT Sentiment Classifier
Fine-tuned distilbert-base-uncased for 2 epochs on the official
rotten_tomatoes splits. Labels are NEGATIVE (0) and POSITIVE (1).
Test result
| Metric | Value |
|---|---|
| Accuracy | 0.8499 |
Usage
from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="Wadden/distilbert-sentiment-demo")
classifier("This movie was fantastic!")
Interactive demo
The quantized ONNX export is executed directly in the browser with Transformers.js:
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Sep 4, 2026
- Updated
- Sep 4, 2026