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distilbert-base-emotion
Subhra-123/distilbert-base-emotion
distilbert-base-emotion is a machine learning model from Subhra-123. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of distilbert-base-uncased for emotion classification. It predicts the emotion expressed in a given text such as joy, sadness, anger, fear, love, surprise, etc.
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At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025
- SHA
- c8a6607a
Model card
From the Hugging Face model README
🧠 DistilBERT Emotion Classification (by Subhra Sikha Sahoo)
This model is a fine-tuned version of distilbert-base-uncased for emotion classification.
It predicts the emotion expressed in a given text such as joy, sadness, anger, fear, love, surprise, etc.
📘 Model Details
- Base Model: distilbert-base-uncased
- Trained By: Subhra Sikha Sahoo
- Task: Multi-label Emotion Classification
- Language: English
- Dataset Size: 20,000 samples
🚀 Usage Example
from transformers import pipeline
pipe = pipeline("text-classification", model="Subhra-123/distilbert-base-emotion", return_all_scores=True)
text = "I love my friends!"
pred = pipe(text)[0]
emotion = max(pred, key=lambda x: x['score'])
print(f"{text} → {emotion['label']} ({emotion['score']:.2f})")
- Type
- distilbert
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025