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title: Transformer Sentiment Analysis
emoji: π€
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: apache-2.0
tags:
- sentiment-analysis
- transformers
- distilbert
- mlflow
- pytorch
models:
- MartinRodrigo/distilbert-sentiment-imdb
---
# π€ Transformer Sentiment Analysis
Advanced sentiment analysis using DistilBERT fine-tuned on IMDB dataset with MLflow experiment tracking.
## π― Model Performance
- **Accuracy:** 80% on IMDB test set
- **F1 Score:** 0.7981
- **Model:** DistilBERT (66M parameters)
- **Speed:** ~100ms per prediction
## π Features
- Real-time sentiment analysis
- Batch text processing
- Confidence scores and probabilities
- Interactive visualizations
## π Links
- **Model Repository:** [MartinRodrigo/distilbert-sentiment-imdb](https://huggingface.co/MartinRodrigo/distilbert-sentiment-imdb)
- **GitHub:** [transformer-sentiment-analysis](https://github.com/mrdesautu/ransformer-sentiment-analysis)
## π‘ Usage
```python
from transformers import pipeline
classifier = pipeline("sentiment-analysis",
model="MartinRodrigo/distilbert-sentiment-imdb")
result = classifier("I love this movie!")
print(result)
```
Built with Transformers, MLflow, and Gradio π |