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
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}]
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