ihabiko/deberta-v3-base-emotion-model

Model Card for Model ID

Model Details

Model Description

This model is fine-tuned on the dair-ai/emotion dataset for multi-class emotion classification.

• Developed by: Ihab Shhadat
• Funded by: Not applicable
• Shared by: Ihab Shhadat (@ihabiko)
• Model type: Transformer-based text classification (DeBERTa-v3-base)
• Language(s): English
• License: Apache 2.0
• Finetuned from model: microsoft/deberta-v3-base

Uses

Direct Use

This model can be used to classify English sentences into one of six emotions:

• sadness
• joy
• love
• anger
• fear
• surprise

Downstream Use

Can be used as an emotion component in dialogue systems, sentiment dashboards, or social media analytics.

Out-of-Scope Use

• Not suitable for medical, legal, or safety-critical applications.
• Not reliable for mixed-language or sarcasm-heavy texts.
• Not intended for non-English text.

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How to Get Started with the Model

from transformers import pipeline

classifier = pipeline("text-classification", model="ihabiko/deberta-v3-base-emotion-model")
classifier("I'm feeling great today!")
[More Information Needed]