Shahzad1/go_emotions_model_bert1

Go Emotions Classifier (DistilBERT)

This model is a fine-tuned version of distilbert-base-uncased on the GoEmotions dataset. It is designed to detect multiple emotions in English text, supporting multi-label text classification.

🧠 Model Details

• Base model: DistilBERT (distilbert-base-uncased)
• Framework: PyTorch
• Task: Multi-label Emotion Classification
• Training data: GoEmotions (Google Research)
• Labels: 27 emotions + neutral (e.g. joy, sadness, anger, surprise, etc.)

✨ Example Usage

from transformers import pipeline

classifier = pipeline("text-classification", model="Shahzad1/go_emotions_model_bert1", top_k=None)
result = classifier("I'm feeling optimistic and excited for what's to come!")
print(result)