ShazaAly/syplyd-marbert-1

🌍 MARBERT for Egyptian Dialect Intent Classification (syplyd-marbert-v1)

This is a fine-tuned version of UBC-NLP/MARBERTv2, specifically adapted for intent classification in Egyptian Colloquial Arabic, with a primary focus on e-commerce and customer service scenarios.

It enables accurate understanding of user queries in dialectal Arabic, empowering applications like chatbots, support assistants, and ticket routing systems.

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🧠 Model Details

• Model Type: bert-for-sequence-classification
• Base Model: UBC-NLP/MARBERTv2
• Language: Arabic (Egyptian dialect)
• Developer: Shaza Aly
• License: Apache 2.0
• Repository: https://huggingface.co/ShazaAly/syplyd-marbert-1

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🚀 Usage

This model can be used directly with the Hugging Face transformers library:

from transformers import pipeline

classifier = pipeline("text-classification", model="ShazaAly/syplyd-marbert-1")

# Example 1
text_1 = "عايز أعرف الأوردر بتاعي هيوصل امتى؟"
print(classifier(text_1))
# Output: [{'label': 'track_order_status', 'score': ...}]

# Example 2
text_2 = "المنتج ده غالي، فيه بديل أرخص؟"
print(classifier(text_2))
# Output: [{'label': 'product_alternatives', 'score': ...}]