Create README.md

README.md

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+---
+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}]