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shorif-sentiment-mini
Tasfiya025/shorif-sentiment-mini
shorif-sentiment-mini is a machine learning model from Tasfiya025. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
shorif-sentiment-mini is a lightweight sentiment classification model designed to identify positive, neutral, and negative sentiment from short to medium-length English texts.
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- 4ee79cc0
Model card
From the Hugging Face model README
shorif-sentiment-mini
Overview
shorif-sentiment-mini is a lightweight sentiment classification model designed to identify positive, neutral, and negative sentiment from short to medium-length English texts.
Model Architecture
The model is based on a compact BERT-style transformer with 4 encoder layers and reduced hidden dimensions for faster inference.
Intended Use
- Social media sentiment analysis
- Product review classification
- Customer feedback analysis
Limitations
- Not suitable for very long documents
- Trained primarily on general English text
- May underperform on domain-specific jargon
Example Code
from transformers import pipeline
classifier = pipeline("text-classification", model="shorif-sentiment-mini")
classifier("This product works really well")
- Type
- bert
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025