metadata
library_name: transformers
language: ar
pipeline_tag: text-classification
tags:
- text-classification
- intent-classification
- marbert
- egyptian-arabic
- nlu
- e-commerce
- customer-service
license: apache-2.0
๐ 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.
๐ง 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
๐ 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 = "ุนุงูุฒ ุฃุนุฑู ุงูุฃูุฑุฏุฑ ุจุชุงุนู ูููุตู ุงู
ุชูุ"
print(classifier(text_1))
# Output: [{'label': 'track_order_status', 'score': ...}]
# Example 2
text_2 = "ุงูู
ูุชุฌ ุฏู ุบุงููุ ููู ุจุฏูู ุฃุฑุฎุตุ"
print(classifier(text_2))
# Output: [{'label': 'product_alternatives', 'score': ...}]