| --- |
| 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}] |
