README.md

---
pipeline_tag: text-classification
library_name: transformers
tags:
- sentiment-analysis
- 3-class
- roberta
license: apache-2.0
---

# DistilBERT / RoBERTa 3-Class Sentiment Model

This model predicts **three sentiment classes** from text:
- **0 → Neutral**
- **1 → Negative**
- **2 → Positive**

## 🧠 Model Details
- Architecture: DistilBERT / RoBERTa (base)
- Fine-tuned on: university feedback / reviews
- Framework: 🤗 Transformers

## 🧪 Example Usage
```python
from transformers import pipeline
pipe = pipeline("text-classification", model="your-username/roberta-3class")
pipe("The lecture was very engaging and clear!")
# → [{'label': 'Positive', 'score': 0.97}]