metadata
license: cc-by-nc-4.0
language:
- en
- ar
- fr
language_bcp47:
- ar-dz
- ar-sa
tags:
- sentiment-analysis
- darija
- multilingual
pipeline_tag: text-classification
base_model: xlm-roberta
Sentiment Analysis Model
This model is a fine-tuned version of xlm-roberta for multilingual sentiment analysis (English + Arabic + Fransh + Darija).
It can classify input text into sentiment categories such as positive, negative, or neutral.
Example usage
from transformers import pipeline
model_name = "faiza-21/sentiment_analysis_model_00"
classifier = pipeline("text-classification", model=model_name)
print(classifier("I love this product!"))
print(classifier("الانترنت بطيء جدا"))