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ihabiko/
deberta-v3-base-emotion-model

Name: deberta-v3-base-emotion-model
Availability: InStock

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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.

How to Get Started with the Model

python

from transformers import pipeline

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