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--- |
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pipeline_tag: text-classification |
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library_name: transformers |
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tags: |
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- sentiment-analysis |
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- 3-class |
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- roberta |
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license: apache-2.0 |
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--- |
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# DistilBERT / RoBERTa 3-Class Sentiment Model |
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This model predicts **three sentiment classes** from text: |
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- **0 → Neutral** |
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- **1 → Negative** |
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- **2 → Positive** |
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## 🧠 Model Details |
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- Architecture: DistilBERT / RoBERTa (base) |
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- Fine-tuned on: university feedback / reviews |
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- Framework: 🤗 Transformers |
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## 🧪 Example Usage |
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```python |
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from transformers import pipeline |
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pipe = pipeline("text-classification", model="your-username/roberta-3class") |
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pipe("The lecture was very engaging and clear!") |
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# → [{'label': 'Positive', 'score': 0.97}] |
