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saadMouraf
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bert-based-emotion-detection-ar

Text Classification
Transformers
Arabic
emotion
BERT
Model card Files
xet
 Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="saadMouraf/bert-based-emotion-detection-ar")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("saadMouraf/bert-based-emotion-detection-ar", dtype="auto")
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This model aims at classifying arabic text into its corresponding set of emotions by fine-tuning a variant of BERT pre-trained on arabic twitter data.

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Evaluation

Jaccard accuracy is the main eval metric and the model achieved 56.12%

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Dataset used to train saadMouraf/bert-based-emotion-detection-ar